Autodesk, Inc.

États‑Unis d’Amérique

Retour au propriétaire

1-100 de 1 512 pour Autodesk, Inc. et 5 filiales Trier par
Recheche Texte
Affiner par
Type PI
        Brevet 1 220
        Marque 292
Juridiction
        États-Unis 1 177
        International 219
        Canada 86
        Europe 30
Propriétaire / Filiale
[Owner] Autodesk, Inc. 1 503
Creative Market Labs, Inc. 3
Creative Market Labs, Inc. 2
Shotgun Software Inc. 2
Moldflow Pty. Ltd 1
Voir plus
Date
Nouveautés (dernières 4 semaines) 9
2024 avril (MACJ) 4
2024 mars 9
2024 février 3
2024 janvier 5
Voir plus
Classe IPC
G06F 17/50 - Conception assistée par ordinateur 172
G06T 15/00 - Rendu d'images tridimensionnelles [3D] 81
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu 78
G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties 77
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes 72
Voir plus
Classe NICE
09 - Appareils et instruments scientifiques et électriques 208
42 - Services scientifiques, technologiques et industriels, recherche et conception 157
41 - Éducation, divertissements, activités sportives et culturelles 64
16 - Papier, carton et produits en ces matières 13
45 - Services juridiques; services de sécurité; services personnels pour individus 13
Voir plus
Statut
En Instance 188
Enregistré / En vigueur 1 324
  1     2     3     ...     16        Prochaine page

1.

COMPUTER AIDED SHAPE SYNTHESIS WITH CONNECTIVITY FILTERING

      
Numéro d'application 18240185
Statut En instance
Date de dépôt 2023-08-30
Date de la première publication 2024-04-18
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Burla, Ravi Kumar
  • Liang, Lihao
  • Weiss, Benjamin Mckittrick
  • Morrison, Andrew Allan

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design with connectivity filtering during shape synthesis, include: a three-dimensional modeling program configured to provide disconnection detection, shape synthesis, and/or connectivity filtering during shape and/or topology optimization. The three-dimensional modeling program can be an architecture, engineering and/or construction program (e.g., building information management program), a product design and/or manufacturing program (e.g., a CAM program), and/or a media and/or entertainment production program (e.g., an animation production program).

Classes IPC  ?

  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

2.

GENERATING COOLING CHANNELS FOR COOLING MOLDS

      
Numéro d'application 17958157
Statut En instance
Date de dépôt 2022-09-30
Date de la première publication 2024-04-11
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Liang, Lihao
  • Kietzmann, Clinton Van Lingen
  • Markovic, Nikola Marko
  • Bin Abu Bakar, Akmal Ariff
  • Astbury, David Ross

Abrégé

A three-dimensional discretized computer model of a part in a three-dimensional discretized design space comprising three-dimensional geometrical elements is obtained. A signed distance field based on a geometry of the three-dimensional discretized computer model of the part as represented in the three-dimensional geometrical elements of the three-dimensional discretized design space is produced. At least one non-branching cooling channel in a portion of the three-dimensional discretized design space is generated.

Classes IPC  ?

  • G06F 30/17 - Conception mécanique paramétrique ou variationnelle

3.

VRED

      
Numéro d'application 1783216
Statut Enregistrée
Date de dépôt 2024-01-30
Date d'enregistrement 2024-01-30
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing online non-downloadable computer software for use in creating digital prototypes, virtual prototypes, 3D product presentations and renderings, and 3D design reviews and for streaming 3D data.

4.

REPOSITIONING COOLING CHANNELS IN COOLING MOLDS

      
Numéro d'application 17958145
Statut En instance
Date de dépôt 2022-09-30
Date de la première publication 2024-04-04
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Markovic, Nikola Marko
  • Bin Abu Bakar, Akmal Ariff
  • Astbury, David Ross
  • Kietzmann, Clinton Van Lingen
  • Yu, Huagang

Abrégé

A three-dimensional computer model of a cooling mold for a part and a specification of an initial layout of one or more cooling channels integrated into the cooling mold is obtained. Data regarding temperatures of a cavity surface of the cooling mold in contact with the part is produced. Individual portions of the one or more cooling channels are moved toward hotter portions of the cavity surface, without moving any branch junctions of the one or more cooling channels and while keeping one or more diameters of the one or more cooling channels constant.

Classes IPC  ?

  • B29C 45/73 - Chauffage ou refroidissement du moule
  • B29C 45/80 - Mesure, commande ou régulation de la position relative des parties de moule

5.

AGENT-BASED OPTIMIZATION OF MULTI-BUILDING SITE LAYOUTS

      
Numéro d'application 18167032
Statut En instance
Date de dépôt 2023-02-09
Date de la première publication 2024-03-28
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Stoddart, James
  • Villaggi, Lorenzo

Abrégé

One embodiment of the present invention sets forth a technique for generating a multi-building layout for a site. The technique includes instantiating a plurality of agents representing a plurality of buildings located on the site based on a set of boundary conditions associated with the site. The techniques also include iteratively updating a plurality of states associated with the plurality of agents based on the set of boundary conditions and a plurality of behaviors associated with the plurality of agents. The techniques further include generating a layout for the site based on the plurality of states, wherein the layout comprises a plurality of building footprints for the plurality of buildings.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

6.

MODULAR GENERATION AND OPTIMIZATION OF BUILDING DESIGNS

      
Numéro d'application 18167033
Statut En instance
Date de dépôt 2023-02-09
Date de la première publication 2024-03-28
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Stoddart, James
  • Davis, Mark Thomas
  • Villaggi, Lorenzo

Abrégé

One embodiment of the present invention sets forth a technique for generating a layout for a building. The technique includes determining a space occupied by the building and one or more rules associated with one or more example building layouts. The technique also includes iteratively assigning one or more sets of cells within the space to one or more building modules based on the one or more rules, where the one or more building modules represent one or more types of interior space within the building. The technique further includes generating the layout for the building based on the one or more sets of cells assigned to the one or more building modules.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

7.

NAVIGATION AND VIEW SHARING SYSTEM FOR REMOTE COLLABORATION

      
Numéro d'application 18240646
Statut En instance
Date de dépôt 2023-08-31
Date de la première publication 2024-03-28
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Menon, Ajay Vijayabalan
  • Morel, Sebastien
  • Casallas Suarez, Juan Sebastian
  • Scannell, Brent
  • Ghoussoub, Akram
  • Fonta, Nicolas

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: displaying, in an extended reality (XR) environment of an interconnected cross-review collaboration application, a shared three-dimensional (3D) model in a first spatial review mode; receiving, in the XR environment of the interconnected cross-review collaboration application and by a first user, an indication specifying a first location within the shared 3D model, the indication being defined using either 2D data or 3D data associated with the 3D model; and displaying, in the XR environment of the interconnected cross-review collaboration application, a portion of the 3D model in a second one-to-one scale review mode, the portion of the 3D model being displayed from a perspective associated with the specified first location, wherein the first spatial review mode and the second one-to-one scale review mode are interconnected.

Classes IPC  ?

8.

TECHNIQUES FOR USING MULTIMODAL MACHINE LEARNING MODELS TO GENERATE DESIGN ALTERNATIVES FOR THREE-DIMENSIONAL OBJECTS

      
Numéro d'application 18446339
Statut En instance
Date de dépôt 2023-08-08
Date de la première publication 2024-03-28
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Liu, Vivian
  • Vermeulen, Jo Karel
  • Fitzmaurice, George William
  • Matejka, Justin Frank

Abrégé

In various embodiments, a design exploration application generates images that represent design alternatives for three-dimensional (3D) objects. The design exploration application generates a keyword prompt based on design intent text that describes a 3D object. The design exploration application executes a first machine learning model on the keyword prompt to generate a first set of keywords. The design exploration application generates a rephrase prompt based on a second set of keywords that includes at least one keyword from the first set of keywords. The design exploration application executes the first machine learning model on the rephrase prompt to generate a final text prompt. The design exploration application executes a second machine learning model on the final text prompt to generate a set of images.

Classes IPC  ?

  • G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle

9.

MULTI-SCALE GENERATIVE DESIGN FOR MODULAR CONSTRUCTION

      
Numéro d'application 18167036
Statut En instance
Date de dépôt 2023-02-09
Date de la première publication 2024-03-28
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Stoddart, James
  • Davis, Mark Thomas
  • Villaggi, Lorenzo

Abrégé

One embodiment of the present invention sets forth a technique for generating a modular design for a construction project. The technique includes executing generating a plurality of design options for the construction project, where each design option includes a site layout and a set of building designs for a set of buildings included in the site layout. The technique also includes computing a first set of performance metrics for the site layout associated with each design option and a second set of performance metrics for the set of building designs associated with each design option, and aggregating the first and second sets of performance metrics into a set of overall performance metrics for each design option. The technique further includes generating a set of candidate designs for the construction project based on the plurality of design options and the overall performance metrics associated with the plurality of design options.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

10.

TECHNIQUES INCORPORATED INTO DESIGN SOFTWARE FOR GENERATING SUSTAINABILITY INSIGHTS

      
Numéro d'application 18329497
Statut En instance
Date de dépôt 2023-06-05
Date de la première publication 2024-03-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Brudy, Frederik
  • Szkurlat, Dagmara Lilianna
  • Benipal, Vikram-Jit Singh
  • Fan, Michael Ziye
  • Jones, Andrew Gareth Lewis
  • Matejka, Justin Frank
  • Bezpalko, Zoé Samiha Valentine
  • Villaggi, Lorenzo
  • Anderson, Fraser
  • Fitzmaurice, George
  • Nadeau, Patrick
  • Thompson, Benjamin James
  • Noviello, Daniel
  • Harsuvanakit, Arthur

Abrégé

In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a first value of a sustainability metric associated with a design of an object, displaying, via a graphical user interface (GUI), a visual indication of the first value of the sustainability metric, and detecting a change to the design of the object. The method further includes, in response to detecting the change to the design of the object, determining a second value of the sustainability metric and displaying, via the GUI, a visual indication of the second value of the sustainability metric.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

11.

TECHNIQUES INCORPORATED INTO DESIGN SOFTWARE FOR GENERATING SUSTAINABILITY INSIGHTS

      
Numéro d'application 18329502
Statut En instance
Date de dépôt 2023-06-05
Date de la première publication 2024-03-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Brudy, Frederik
  • Szkurlat, Dagmara Lilianna
  • Benipal, Vikram-Jit Singh
  • Fan, Michael Ziye
  • Jones, Andrew Gareth Lewis
  • Matejka, Justin Frank
  • Bezpalko, Zoé Samiha Valentine
  • Villaggi, Lorenzo
  • Anderson, Fraser
  • Fitzmaurice, George
  • Nadeau, Patrick
  • Thompson, Benjamin James
  • Noviello, Daniel
  • Harsuvanakit, Arthur

Abrégé

In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a value of a sustainability metric associated with a design of an object; determining a target value for the sustainability metric; determining an amount of progress made towards achieving the target value for the sustainability metric based on the value of the sustainability metric and the target value for the sustainability metric; and displaying, via a graphical user interface (GUI), a visual indication of the amount of progress made towards achieving the target value for the sustainability metric.

Classes IPC  ?

  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO
  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport
  • G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
  • G06T 3/40 - Changement d'échelle d'une image entière ou d'une partie d'image
  • G06T 11/00 - Génération d'images bidimensionnelles [2D]

12.

COMPUTER AIDED GENERATIVE DESIGN WITH LAYER BOUNDARY DETERMINATION TO FACILITATE 2.5-AXIS SUBTRACTIVE MANUFACTURING PROCESSES

      
Numéro d'application 18363327
Statut En instance
Date de dépôt 2023-08-01
Date de la première publication 2024-03-14
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Weinberg, David Jon
  • Kim, Nam Ho

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, include: obtaining one or more design criteria for a modeled object; iteratively modifying a three-dimensional shape of the modeled object in accordance with the one or more design criteria, determining layer boundaries between three or more discrete layers for the three-dimensional shape based on differences among multiple milling depths identified for respective milling lines in a density-based representation of the three-dimensional shape, including adjusting the density-based representation of the three-dimensional shape to reassign milling depths for at least a portion of the milling lines such that the milling depths for the milling lines correspond to the layer boundaries between the three or more discrete layers for the three-dimensional shape, thereby changing the three-dimensional shape of the modeled object; and providing the three-dimensional shape of the modeled object for use in manufacturing a physical structure using a 2.5-axis subtractive manufacturing process.

Classes IPC  ?

  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur
  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

13.

PREDICTIVE MODELING AND CONTROL FOR WATER RESOURCE INFRASTRUCTURE

      
Numéro d'application 18509091
Statut En instance
Date de dépôt 2023-11-14
Date de la première publication 2024-03-14
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Gaffoor, Thouheed Abdul
  • Suthar, Megh
  • Mohamed, Yousra Hazem Khalil Helmy

Abrégé

A system and method control a water resource infrastructure (WRI). The WRI has infrastructure components that are actuatable to cause a change to the WRI. A monitoring system has sensors that collect operating data that describes a state of the infrastructure components. A disturbance data provider provides disturbance data that may be expected to have an impact on operational parameters of the infrastructure components. A control mechanism scheduler receives the disturbance data and the operating data, trains to generate a schedule of setpoints for a control system in accordance with approaching a predetermined objective, and retrieves and outputs the schedule of setpoints in response to receiving real-time operational data. A control system receives the schedule of setpoints controls the infrastructure components based thereon.

Classes IPC  ?

  • G05B 13/04 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
  • G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
  • G06N 5/04 - Modèles d’inférence ou de raisonnement
  • G06N 20/00 - Apprentissage automatique

14.

PERCENTILE-BASED PSEUDO-LABEL SELECTION FOR MULTI-LABEL SEMI-SUPERVISED CLASSIFICATION

      
Numéro d'application 18452780
Statut En instance
Date de dépôt 2023-08-21
Date de la première publication 2024-02-29
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Huang, Junxiang
  • Huang, Alexander
  • Guerra, Beatriz Chinelato
  • Yu, Yen-Yun

Abrégé

A method and system provide for augmenting a photograph. An unlabeled photograph is obtained. A weakly augmented photograph and a strongly augmented photograph are obtained from the unlabeled photograph based on different types of data augmentation methods. The weakly augmented photograph is processed through a model to generate multiple weakly augmented photograph class predictions (with assigned probabilities). The multiple weakly augmented photograph class predictions are converted into positive pseudo-labels (indicating a presence of a class) or negative pseudo-labels (indicating absence of a class) using different fixed percentile thresholds. The strongly augmented photograph is processed through the model to generate a strongly augmented photograph class prediction. The model is trained to make the strongly augmented photograph label prediction match the positive pseudo-label via a cross-entropy loss. The trained model is then utilized to label the unlabeled photograph with multiple labels.

Classes IPC  ?

  • G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
  • G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo

15.

MACHINE LEARNING TECHNIQUES FOR GENERATING INVERSE KINEMATIC MODELS FOR CHARACTER ANIMATION

      
Numéro d'application 17822106
Statut En instance
Date de dépôt 2022-08-24
Date de la première publication 2024-02-29
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Atherton, Evan Patrick
  • Tran, Dieu Linh

Abrégé

In various embodiments, an inverse kinematic (IK) modeling application generates models that are used to solve IK problems for object animations. The IK modeling application generates configuration vectors based on a set of joint parameters associated with a joint chain. The IK modeling application executes forward kinematic operation(s) on the joint chain based on the configuration vectors to generate target vectors. Each target vector includes data associated with at least one of a position or an orientation for an end-effector associated with the joint chain. The IK modeling application performs one or more machine learning (ML) operations on an ML model based on the configuration vectors and the target vectors to generate a trained ML model that computes a predicted joint vector associated with the joint chain based on at least one of a target position or a target orientation for the end-effector.

Classes IPC  ?

16.

TECHNIQUES FOR SOLVING INVERSE KINEMATIC PROBLEMS USING TRAINED MACHINE LEARNING MODELS

      
Numéro d'application 17822108
Statut En instance
Date de dépôt 2022-08-24
Date de la première publication 2024-02-29
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Atherton, Evan Patrick
  • Tran, Dieu Linh

Abrégé

In various embodiments, a computer animation application automatically solves inverse kinematic problems when generating object animations. The computer animation application determines a target vector based on a target value for a joint parameter associated with a joint chain and at least one of a target position or a target orientation for an end-effector associated with the joint chain. The computer animation application executes a trained machine learning model on the target vector to generate a predicted vector that includes data associated with multiple joint parameters associated with the joint chain.

Classes IPC  ?

  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels

17.

ADVANCED BUILDING SYSTEMS AND ELEMENTS FOR SPACE DESIGN

      
Numéro d'application 17822855
Statut En instance
Date de dépôt 2022-08-29
Date de la première publication 2024-02-29
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Wold, Espen Kristian Wulff
  • Hallén, Martin
  • Karlsen, Markus Reppen
  • Chaudhry, Bilal Zia
  • Vatn, Klara Kristina
  • Bjelland, Arne Folkestad

Abrégé

A method and system provide the ability to design a space in a computer-aided design (CAD) application. A 3D model is acquired. The space is designed by defining Elements including a parent and a child element. Each Element encapsulates a geometric model, and consists of metadata that provides a summary of contents in each Element that enables an outside process to handle each Element without access to the encapsulated geometric model. An arbitrary logic Program is structured to generate a list of the child Elements. The 3D model is edited and updated in real time. During the updating, the Program is reexecuted to update the child elements while attempting to conserve a hierarchical structure of the Elements. The updated 3D model is provided via a graphical user interface that enables editing of the geometric model and the Elements in the space.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

18.

TOOLPATH GENERATION BY REINFORCEMENT LEARNING FOR COMPUTER AIDED MANUFACTURING

      
Numéro d'application 18240703
Statut En instance
Date de dépôt 2023-08-31
Date de la première publication 2024-02-22
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Lovell, David Patrick
  • Bin Abu Bakar, Akmal Ariff
  • Mehan, Saaras

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using toolpaths generated by reinforcement learning for use with subtractive manufacturing systems and techniques, include: obtaining, in a computer aided design or manufacturing program, a three dimensional model of a manufacturable object; generating toolpaths that are usable by a computer-controlled manufacturing system to manufacture at least a portion of the manufacturable object by providing at least a portion of the three dimensional model to a machine learning algorithm that employs reinforcement learning, wherein the machine learning algorithm includes one or more scoring functions that include rewards that correlate with desired toolpath characteristics comprising toolpath smoothness, toolpath length, and avoiding collision with the three dimensional model; and providing the toolpaths to the computer-controlled manufacturing system to manufacture at least the portion of the manufacturable object.

Classes IPC  ?

  • G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
  • G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
  • G05B 19/4097 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par l'utilisation de données de conception pour commander des machines à commande numérique [CN], p.ex. conception et fabrication assistées par ordinateur CFAO
  • G06F 30/10 - CAO géométrique
  • G06N 3/045 - Combinaisons de réseaux

19.

CONSTRAINT BASED AUTOMATIC TERRAIN SURFACE DESIGN

      
Numéro d'application 18487765
Statut En instance
Date de dépôt 2023-10-16
Date de la première publication 2024-02-22
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Koch, Valentin R.
  • Bergeron, Patrick A.
  • Zeeben, Nicholas James
  • Xue, Qing
  • Hu, Weiwei

Abrégé

A method and system provide the ability to design a terrain surface. A triangular surface mesh in three-dimensions representative of an existing surface is obtained. One or more constraints to control the triangular surface mesh are specified. The specifying includes defining multiple basic grading element constraints that are constraints on surface points of the existing surface, and combining such constraints into a complex grading element constraint that matches a real world grading behavior. Drainage for the triangular surface mesh is automatically determined based on the complex grading element constraint.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

20.

NAVIGATION AND VIEW SHARING SYSTEM FOR REMOTE COLLABORATION

      
Numéro d'application 17887371
Statut En instance
Date de dépôt 2022-08-12
Date de la première publication 2024-02-15
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Brudy, Frederik
  • Miller, Matthew K.
  • Grossman, Tovi
  • Fitzmaurice, George William
  • Anderson, Fraser

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for collaboration and view sharing between users when performing editing operations over a shared document. A first portion of a shared document is displayed to a first user in a user interface of a first instance of a collaboration application of a first user. The displayed first portion comprises a first location of the first user within the shared document. In the user interface, an indication specifying a relative locational direction from the first location towards a second location of a second user within the shared document is provided. A second portion of the shared document is being displayed to the second user through a second instance of the collaboration application during a conference call between a set of users, where the displayed second portion includes the second location of the second user within the shared document.

Classes IPC  ?

  • H04N 7/15 - Systèmes pour conférences
  • G06F 3/14 - Sortie numérique vers un dispositif de visualisation

21.

VRED

      
Numéro d'application 231959200
Statut En instance
Date de dépôt 2024-01-30
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Providing online non-downloadable computer software for use in creating digital prototypes, virtual prototypes, 3D product presentations and renderings, and 3D design reviews and for streaming 3D data.

22.

VRED

      
Numéro de série 98381269
Statut En instance
Date de dépôt 2024-01-29
Propriétaire Autodesk, Inc. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Providing online non-downloadable computer software for use in creating digital prototypes, virtual prototypes, 3D product presentations and renderings, and 3D design reviews and for streaming 3D data

23.

AUTOMATED DESIGN OF ARCHITECTURAL STRUCTURES FOR FABRICATION WITH STANDARD COMPONENTS

      
Numéro d'application 17894978
Statut En instance
Date de dépôt 2022-08-24
Date de la première publication 2024-01-25
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Wang, Rui
  • Benjamin, David
  • Jayaraman, Pradeep Kumar
  • Morris, Nigel Jed Wesley

Abrégé

A generative design system includes a solver and a modeling tool comprising a visual programming interface and a design workflow script. The visual programming interface enables the user to specify a design problem including design constraints comprising parameters associated with standard building components, such as beams and joints. After the design problem is specified by the user, the modeling tool executes the design workflow script to automatically perform a design workflow that generates a design solution for the design problem. The design workflow script controls the operations of the modeling tool and the solver to interact in a collaborative manner to execute the design workflow comprising an ordered sequence of operations. The design solution comprises a 3D model of a modular beam structure that can be easily fabricated using standard building components, such as standardized beams and joints.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

24.

TECHNIQUES FOR DESIGN SPACE EXPLORATION IN A MULTI-USER COLLABORATION SYSTEM

      
Numéro d'application 17889287
Statut En instance
Date de dépôt 2022-08-16
Date de la première publication 2024-01-25
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abrégé

One embodiment of a computer-implemented method for generating design solutions to one or more design problems comprises receiving a first design model that is associated with a first design problem; generating a first multi-dimensional data point based on the first design model; mapping the first design model to a first node of a trained self-organizing map based on the first multi-dimensional data point, wherein the first node corresponds to a first location within a design space; and displaying a visual representation of the first design model residing at the first location within the design space based on the first node.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06T 15/00 - Rendu d'images tridimensionnelles [3D]

25.

MAKE ANYTHING

      
Numéro d'application 231178200
Statut En instance
Date de dépôt 2024-01-23
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Computer software computer aided design/computer-aided manufacturing (CAD/CAM) for machine control and general use; computer aided design (CAD) software for general use; computer aided manufacturing (CAM) software for machine control and general use; computer game software; computer graphics software; computer software for architecture, digital prototyping, graphic design, multimedia production, viewing of video entertainment, special effects, film editing, project management, image manipulation, home design, simulation, visualization, rendering of digital objects and images, and, data management; computer software for architecture, digital prototyping, graphic design, multimedia production, viewing of video entertainment, special effects, film editing, project management, image manipulation, home design, simulation, visualization, rendering of digital objects and images, and, data management and that may be downloaded from a global computer network; educational software featuring instruction in design, art, multimedia, image manipulation and architecture; software for processing images, graphics and text; computer software for aiding, operating, and controlling devices for printing of three-dimensional (3D) objects; computer aided design (CAD) software for designing and/or printing of three-dimensional objects; computer software for scanning and processing of three-dimensional (3D) objects; computer software for designing, creating, visualizing, editing, optimizing, and analyzing 3D meshes, 3D models, 3D point clouds, and orthographic projections and views; computer software for designing, creating, visualizing, editing, optimizing, and analyzing 3D meshes and 3D models; computer software for use in creating digital prototypes, virtual prototypes, 3D product presentations and renderings, and 3D design reviews and for streaming 3D data; computer software for use in manufacturing and 3D printing; computer software for use in electronic design automation and for designing and manufacturing printed circuit boards; computer software development tools. (1) Cloud computing featuring software for computer aided design, graphics design, multimedia production, project management, image manipulation and home design for use by architects, interior designers, civil engineers, construction managers, computer aided designers, multimedia manipulators, prototype creators, and graphics professionals; computer aided graphic design; computer project management services; computer services, namely, hosting a website featuring an on-line community for registered users to publish and share their own content and images online; hosting a website featuring a secure electronic online system featuring technology which allows users to create, publish, modify, share and produce personalized things from digital content, models and designs; hosting a web site featuring technology that enables users to design their own home layouts, three dimensional objects and construction projects; hosting a web site featuring temporary use of non-downloadable software for tools for image editing, simulation, visualization, rendering of digital objects and images, data management, construction projects, home design, object design and computer graphics; providing an Internet website portal offering information in the field of computer aided design (terms considered too vague by the International Bureau - rule 13 (2) (b) of the Common Regulations); cloud computing featuring software for aiding, operating, and controlling devices for printing of three-dimensional (3D) objects; software as a service (SAAS) services featuring software for use in designing, creating, visualizing, editing, optimizing, and analyzing 3D meshes, 3D models, 3D point clouds, and orthographic projections and views; providing temporary use of on-line non-downloadable software for use in designing, creating, visualizing, editing, optimizing, and analyzing 3D meshes, 3D models, 3D point clouds, and orthographic projections and views; platform as a service (PAAS) featuring computer software platforms providing services, application programming interfaces, and software development kits to enable software developers and businesses, to develop software applications, products, and services; providing an internet website portal offering information on software development (terms considered too vague by the International Bureau - rule 13 (2) (b) of the Common Regulations); software development consulting; technical support services in the field of software development; software as a service (SAAS) services featuring software for use in manufacturing and 3D printing; providing temporary use of on-line non- downloadable software for use in manufacturing and 3D printing; software as a service (SAAS) services featuring software for use in electronic design automation and for designing and manufacturing printed circuit boards; providing temporary use of on-line non-downloadable software for use in electronic design automation and for designing and manufacturing printed circuit boards.

26.

MODELLING FLUID FLOW

      
Numéro d'application 17849483
Statut En instance
Date de dépôt 2022-06-24
Date de la première publication 2023-12-28
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Costa, Franco
  • Han, Sejin

Abrégé

A digital 3D model of a component to be analyzed is obtained. The component includes regularly patterned holes. A first portion of the model is identified. The first portion includes the regularly patterned holes. A second portion of the model is identified. The second portion includes parts of the model lacking the regularly patterned holes. A flow factor of the first portion is determined. The flow factor indicates flow characteristics of fluid flowing through the first portion with the regularly patterned holes. A numerical fluid simulation is performed using a mesh representative of the component geometry. Performing the numerical fluid simulation includes modifying a flow property of the fluid simulation in the first portion based at least in part on the flow factor.

Classes IPC  ?

  • G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p.ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]

27.

BUILDING INFORMATION MODEL (BIM) ELEMENT EXTRACTION FROM FLOOR PLAN DRAWINGS USING MACHINE LEARNING

      
Numéro d'application 18457603
Statut En instance
Date de dépôt 2023-08-29
Date de la première publication 2023-12-21
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Gallo, Emmanuel
  • Fu, Yan
  • Alfaro, Keith
  • Alonso, Manuel Martinez
  • Kohli, Simranjit Singh
  • Amour, Graceline Regala

Abrégé

A method and system provide a workflow for extracting building information model (BIM) elements for a floor plan drawing. A design drawing area of an image of the floor plan drawing is determined. Elements are extracted from the design drawing area. A synthetic floor plan design drawing dataset is obtained with known synthetic symbol labels and known synthetic symbol locations. Based on the extracted elements and the synthetic floor plan design drawing dataset, a symbol represented by the extracted elements is detected. Based on the symbol, a building information model (BIM) element is fetched and placed in the floor plan drawing.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06N 20/00 - Apprentissage automatique
  • G06F 16/21 - Conception, administration ou maintenance des bases de données
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

28.

TECHNIQUES FOR GENERATING IMMERSIVE SPACES THAT ENABLE INSPIRATIONAL MATERIALS TO BE COLLECTED, DISCOVERED, AND ENVISIONED

      
Numéro d'application 18181431
Statut En instance
Date de dépôt 2023-03-09
Date de la première publication 2023-12-07
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Ivanov, Alexander Arden
  • Anderson, Fraser
  • Grossman, Tovi
  • Ledo Maira, David
  • Fitzmaurice, George

Abrégé

A computer-implemented method for generating a virtual collection of digital materials includes: generating a virtual three-dimensional (3D) design workspace; and, in response to a first operation that is associated with a first media file: automatically generating a virtual 3D representation of the first media file; and automatically incorporating the virtual 3D representation of the first media file into the virtual 3D design workspace.

Classes IPC  ?

  • G06F 3/04815 - Interaction s’effectuant dans un environnement basé sur des métaphores ou des objets avec un affichage tridimensionnel, p.ex. modification du point de vue de l’utilisateur par rapport à l’environnement ou l’objet
  • G06F 3/0486 - Glisser-déposer
  • G06F 3/04845 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs pour la transformation d’images, p.ex. glissement, rotation, agrandissement ou changement de couleur
  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06T 7/90 - Détermination de caractéristiques de couleur
  • G06T 7/40 - Analyse de la texture

29.

Computer-aided techniques for designing 3D surfaces based on gradient specifications

      
Numéro d'application 17746784
Numéro de brevet 11900542
Statut Délivré - en vigueur
Date de dépôt 2022-05-17
Date de la première publication 2023-11-23
Date d'octroi 2024-02-13
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Banadyha, Andriy
  • Davis, Mark Thomas

Abrégé

In various embodiments, a gradient modeling application automatically generates designs of three-dimensional (3D) objects. The gradient modeling application generates a set of points based on a resolution and a perimeter. The gradient modeling application computes a set of displacement values based on the set of points, a first two-dimensional (2D) border, and a first displacement parameter that is associated with the first 2D border. Based on the set of displacement values, the gradient modeling application generates a 3D object design.

Classes IPC  ?

  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

30.

GENERATING PRISMATIC CAD MODELS BY MACHINE LEARNING

      
Numéro d'application 17747953
Statut En instance
Date de dépôt 2022-05-18
Date de la première publication 2023-11-23
Propriétaire Autodesk, Inc. (USA)
Inventeur(s) Lambourne, Joseph George

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures by generating prismatic CAD models using machine learning, include: obtaining an input embedding that encodes a representation of a target two-dimensional (2D) shape; processing the input embedding using a 2D decoder of a 2D autoencoder to obtain a decoded representation of the target 2D shape; determining a fitted 2D parametric sketch model for the input embedding, including: finding a 2D parametric sketch model for the input embedding using a search in an embedding space of the 2D autoencoder and a database of sketch models associated with the 2D autoencoder, and fitting the 2D parametric sketch model to the decoded representation of the target 2D shape; and using the fitted 2D parametric sketch model in a computer modeling program.

Classes IPC  ?

  • G06F 30/10 - CAO géométrique
  • G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
  • G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo

31.

HIGH FREQUENCY DATA MANAGEMENT (HFDM)

      
Numéro d'application 18348232
Statut En instance
Date de dépôt 2023-07-06
Date de la première publication 2023-11-16
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Amihod, Dov
  • Dacosta, Thiago
  • Zinke, Arno
  • Medan, Sebastian
  • Towhidi, Farzad
  • Ruiters-Christou, Roland Arthur

Abrégé

A method and system provide the ability to manage data. Property sets consisting of property set objects are created. A commit graph stores the property set objects and provides a topology of changes between states of the objects as commit nodes. Change sets represent a change between two commit nodes. Each change set specifies a basic operation that was applied on each state to get to a next state of the property set objects and each change set is reversible.

Classes IPC  ?

  • G06F 16/23 - Mise à jour
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
  • G06N 7/01 - Modèles graphiques probabilistes, p.ex. réseaux probabilistes
  • G06F 16/2455 - Exécution des requêtes
  • G06F 16/21 - Conception, administration ou maintenance des bases de données

32.

TECHNIQUES FOR TRAINING A MACHINE LEARNING MODEL TO MODIFY PORTIONS OF SHAPES WHEN GENERATING DESIGNS FOR THREE-DIMENSIONAL OBJECTS

      
Numéro d'application 18346754
Statut En instance
Date de dépôt 2023-07-03
Date de la première publication 2023-10-26
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhang, Ran
  • Fabian, Morgan
  • Ndip-Agbor, Ebot Etchu
  • Taylor, Lee Morris

Abrégé

In various embodiments, a training application trains a machine learning model to modify portions of shapes when designing 3D objects. The training application converts first structural analysis data having a first resolution to first coarse structural analysis data having a second resolution that is lower than the first resolution. Subsequently, the training application generates one or more training sets based on a first shape, the first coarse structural analysis data, and a second shape that is derived from the first shape. Each training set is associated with a different portion of the first shape. The training application then performs one or more machine learning operations on the machine learning model using the training set(s) to generate a trained machine learning model. The trained machine learning model modifies at least a portion of a shape having the first resolution based on coarse structural analysis data having the second resolution.

Classes IPC  ?

  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06N 3/08 - Méthodes d'apprentissage
  • G06T 3/40 - Changement d'échelle d'une image entière ou d'une partie d'image
  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation

33.

USER FEEDBACK MECHANISM FOR SOFTWARE APPLICATIONS

      
Numéro d'application 17969555
Statut En instance
Date de dépôt 2022-10-19
Date de la première publication 2023-10-19
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Wannamaker, Kendra Ann
  • Matejka, Justin Frank
  • Vermeulen, Jo Karel
  • Fitzmaurice, George

Abrégé

A feedback mechanism that reports software issues between users of software applications and the developers of the software applications. The feedback mechanism generates feedback logs that capture moments of user frustration at the moment a user encounters issues with using a particular software application executing on a client device. The feedback mechanism is triggered to generate a feedback log by the user via a predetermined set of user inputs. Once generated, the feedback log captures an associated importance level, a user description, and/or context information (such as application and command activity information) for the particular software application and one or more other software applications that interacted with the particular software application executing on the client device. The feedback log can also capture multimedia content such as audio, images, and videos. The feedback log is then transmitted to a server of a developer of the particular software application.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel
  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie

34.

GENERATIVE DESIGN SHAPE OPTIMIZATION USING BUILD MATERIAL STRENGTH MODEL FOR COMPUTER AIDED DESIGN AND MANUFACTURING

      
Numéro d'application 18141266
Statut En instance
Date de dépôt 2023-04-28
Date de la première publication 2023-10-12
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Harris, Andrew John
  • Groom, Allin Irving
  • Bandara, Konara Mudiyanselage Kosala
  • Butscher, Adrian Adam Thomas
  • Szkurlat, Dagmara Lilianna

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more load cases and one or more design criteria for a modeled object, the one or more design criteria comprising a build material strength model indicating strength relationships between thickness of an object feature and build angle for that object feature resulting from additive manufacturing; iteratively modifying a three dimensional shape of the modeled object in accordance with the one or more design criteria and the one or more load cases, including applying the strength relationships between the thickness of the object feature and the build angle for that object feature on a per-element basis during numerical simulation of the modeled object; and providing the three dimensional shape of the modeled object for use in manufacturing a physical structure.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
  • G06F 30/10 - CAO géométrique
  • G06T 17/10 - Description de volumes, p.ex. de cylindres, de cubes ou utilisant la GSC [géométrie solide constructive]

35.

NEURAL STYLE TRANSFER IN THREE-DIMENSIONAL SHAPES

      
Numéro d'application 18149601
Statut En instance
Date de dépôt 2023-01-03
Date de la première publication 2023-10-12
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abrégé

One embodiment of the present invention sets forth a technique for performing style transfer. The technique includes generating an input shape representation that includes a plurality of points near a surface of an input three-dimensional (3D) shape, where the input 3D shape includes content-based attributes associated with an object. The technique also includes determining a style code based on a difference between a first latent representation of a first 3D shape and a second latent representation of a second 3D shape, where the second 3D shape is generated by applying one or more augmentations to the first 3D shape. The technique further includes generating, based on the input shape representation and style code, an output 3D shape having the content-based attributes of the input 3D shape and style-based attributes associated with the style code, and generating a 3D model of the object based on the output 3D shape.

Classes IPC  ?

  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06T 17/10 - Description de volumes, p.ex. de cylindres, de cubes ou utilisant la GSC [géométrie solide constructive]

36.

GENERATIVE DESIGN SHAPE OPTIMIZATION WITH SINGULARITIES AND DISCONNECTION PREVENTION FOR COMPUTER AIDED DESIGN AND MANUFACTURING

      
Numéro d'application 18141218
Statut En instance
Date de dépôt 2023-04-28
Date de la première publication 2023-10-12
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Bandara, Konara Mudiyanselage Kosala
  • Ruto, Anthony Christopher Kipkirui Yegon
  • Morris, Nigel Jed Wesley
  • Jones, Andrew Gareth Lewis

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more load cases and one or more design criteria for a modeled object; iteratively modifying a three dimensional shape of the modeled object in accordance with the one or more design criteria and the one or more load cases, the iteratively modifying comprising regulating shape change velocities for an implicit surface representation of the three dimensional shape that exceed a reference velocity, where the reference velocity is set based on a mean and a standard deviation of a shape derivative on the implicit surface; and providing the three dimensional shape of the modeled object for use in manufacturing a physical structure corresponding to the modeled object using one or more computer-controlled manufacturing systems.

Classes IPC  ?

  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur
  • G06F 30/10 - CAO géométrique
  • G05B 19/41 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par l'interpolation, p.ex. par le calcul de points intermédiaires entre les points extrêmes programmés pour définir le parcours à suivre et la vitesse du déplacement le long de ce parcours
  • B33Y 50/00 - Acquisition ou traitement de données pour la fabrication additive
  • B22F 10/80 - Acquisition ou traitement des données

37.

TRAINING MACHINE LEARNING MODELS TO PERFORM NEURAL STYLE TRANSFER IN THREE-DIMENSIONAL SHAPES

      
Numéro d'application 18149605
Statut En instance
Date de dépôt 2023-01-03
Date de la première publication 2023-10-12
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abrégé

One embodiment of the present invention sets forth a technique for training a machine learning model to perform style transfer. The technique includes applying one or more augmentations to a first input three-dimensional (3D) shape to generate a second input 3D shape. The technique also includes generating, via a first set of neural network layers, a style code based on a first latent representation of the first input 3D shape and a second latent representation of the second input 3D shape. The technique further includes generating, via a second set of neural network layers, a first output 3D shape based on the style code and the second latent representation, and performing one or more operations on the first and second sets of neural network layers based on a first loss associated with the first output 3D shape to generate a trained machine learning model.

Classes IPC  ?

  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06N 3/0475 - Réseaux génératifs
  • G06N 3/092 - Apprentissage par renforcement

38.

GENERATING STYLES FOR NEURAL STYLE TRANSFER IN THREE-DIMENSIONAL SHAPES

      
Numéro d'application 18149609
Statut En instance
Date de dépôt 2023-01-03
Date de la première publication 2023-10-12
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abrégé

One embodiment of the present invention sets forth a technique for performing style transfer. The technique includes determining a distribution associated with a plurality of style codes for a plurality of three-dimensional (3D) shapes, where each style code included in the plurality of style codes represents a difference between a first 3D shape and a second 3D shape, and where the second 3D shape is generated by applying one or more augmentations to the first 3D shape. The technique also includes sampling from the distribution to generate an additional style code and executing a trained machine learning model based on the additional style code to generate an output 3D shape having style-based attributes associated with the additional style code and content-based attributes associated with an object. The technique further includes generating a 3D model of the object based on the output 3D shape.

Classes IPC  ?

  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/0455 - Réseaux auto-encodeurs; Réseaux encodeurs-décodeurs

39.

PROEST

      
Numéro d'application 1753488
Statut Enregistrée
Date de dépôt 2023-08-18
Date d'enregistrement 2023-08-18
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Downloadable computer software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting. Software as a service (SAAS) services featuring software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting.

40.

AUTODESK WORKSHOP XR

      
Numéro d'application 1753422
Statut Enregistrée
Date de dépôt 2023-09-07
Date d'enregistrement 2023-09-07
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software as a service (SAAS) featuring software for architects, designers, engineers, and construction professionals for creating, designing, developing, rendering, manipulating, executing, viewing, revising, and displaying digital images, photographs, digital animation, graphics, and BIM data.

41.

LIBRARY-BASED CONNECTIONS DESIGN AUTOMATION

      
Numéro d'application 17713724
Statut En instance
Date de dépôt 2022-04-05
Date de la première publication 2023-10-05
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Stancu, Mihai
  • Manoliu, Cosmin Paul
  • Peticila, Dan Florin
  • Piechnik, Pawel
  • Catalina, Mihai Vlad
  • Olaru, Dragos Leonardo
  • Pavel, Vlad
  • Berteanu, Dumitru
  • Orzea, Bogdan
  • Nita, Silviu Constantin
  • Constantin, Amalia Elena

Abrégé

A method and system provides the ability to connect steel elements. A design intent model is acquired and consists of a building information model of a skeleton of a building without connections between steel elements that have geometric characteristics. A structural analysis of the structure of the model is performed and generates output consisting of member end forces at intersections of the steel elements. Via a user interface, rules are defined, that associate a potential connection with a structural steel profile. Via a user interface, a script is defined, that dictate where connections should be placed by: identifying second geometric characteristics of the potential connection, identifying forces for steel elements to be connected, comparing the design intent model, the structural analysis output and the rules to the structural steel profile, and autonomously generating and placing, based on the comparison, connections on the BIM model at applicable intersections.

Classes IPC  ?

  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO
  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/17 - Conception mécanique paramétrique ou variationnelle

42.

MONETARY VULNERABILITY ASSESSMENT (MVA) OF A REPARABLE INFRASTRUCTURE SYSTEM

      
Numéro d'application 17708971
Statut En instance
Date de dépôt 2022-03-30
Date de la première publication 2023-10-05
Propriétaire Autodesk, Inc. (USA)
Inventeur(s) Ro, Junje

Abrégé

A method and system provide the ability to estimate the vulnerability of a repairable infrastructure system. A survival curve is constructed for one or more assets. A rehabilitation plan is prescribed for one or more failure states of the repairable infrastructure system. A cost estimation model is constructed for costs associated with the repairs for each of the failure states. A planning basis is specified. A multiple probability simulation is conducted that estimates a potential restoration cost for a possible failure. The simulation is repeated to acquire a distribution of potential restoration costs. A vulnerability estimation is determined and provided based on the distribution.

Classes IPC  ?

  • H04L 41/0823 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p.ex. l’optimisation de la configuration pour améliorer la fiabilité
  • H04L 41/0826 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p.ex. l’optimisation de la configuration pour améliorer la fiabilité pour la réduction des coûts du réseau
  • H04L 41/14 - Analyse ou conception de réseau
  • H04L 41/142 - Analyse ou conception de réseau en utilisant des méthodes statistiques ou mathématiques

43.

SEMANTIC SCRIPT LANGUAGE PROCESSING

      
Numéro d'application 17710663
Statut En instance
Date de dépôt 2022-03-31
Date de la première publication 2023-10-05
Propriétaire Autodesk, Inc. (USA)
Inventeur(s) Hotson, Clayton P.

Abrégé

A method and system provide the ability to process source computer instructions. The source computer instructions are obtained and include input statements that consist of two functions and one or more arguments. The two functions are competing with each other for consumption of the one or more arguments. For an input statement, an inherent numeric precedence weight is determined for each function and argument. All possible legal configurations of the functions and arguments are determined and consist of different groupings of the functions and arguments. A score is assigned to each grouping and consists of a sum of the weights within each different grouping. The grouping and legal configuration having the highest score is selected. The input statements are compiled into executable code using the selected different grouping.

Classes IPC  ?

44.

MULTI-USER COLLABORATION SYSTEM FOR GENERATIVE DESIGNS

      
Numéro d'application 17696340
Statut En instance
Date de dépôt 2022-03-16
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abrégé

In various embodiments, a computer-implemented method comprises receiving, during a real-time collaboration session including a plurality of participants, a first input associated with a first selectable component from a set of pre-defined selectable components associated with a shared design model, where the first selectable component is associated with a first participant in the plurality of participants, in response to receiving a confirmation of the first input, modifying the shared design model to generate an updated shared design model, wherein the first selectable component in the updated shared design model includes the modified first selectable component, and causing the updated shared design model to be synchronized with at least one other participant in a plurality of participants included in the real-time collaboration session.

Classes IPC  ?

45.

DETERMINING COLLABORATION SCORES FOR GENERATING A SHARED DESIGN

      
Numéro d'application 17718181
Statut En instance
Date de dépôt 2022-04-11
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abrégé

In various embodiments, a computer-implemented method comprises receiving, during a real-time collaboration session, a first input associated with a first selectable component, where the first selectable component is included in a set of pre-defined selectable components associated with a shared design model, and the first selectable component is a first component type that includes a first set of characteristics, in response to receiving a confirmation of the first input, modifying the shared design model to generate a modified shared design model, where the modified shared design model includes the first selectable component, computing, based on the modified shared design model, a set of metrics including a first behavioral metric, computing, based on the set of metrics, a first collaboration score for a first participant and at least one other participant, and displaying a design space that includes the modified shared design model and the first collaboration score.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO
  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

46.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Numéro d'application 17832123
Statut En instance
Date de dépôt 2022-06-03
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abrégé

A voxel-based design approach enables the creating and modifying of a design model comprising a 3D grid of discrete voxels that is represented by a voxel data structure. The voxel data structure comprises voxel-level entries, each entry corresponding to a voxel based on the 3D location within the 3D grid. The voxel data structure includes a design-level entry for storing design-level performance metrics. The system updates the voxel data structure to reflect user modifications to the design model and renders a visualization of the updated design model. The system displays a per-voxel heat map for the design model for a selected performance metric based on the voxel data structure. The design system displays multiple optimized design solutions based on corresponding optimized voxel data structures. The system generates the multiple optimized design solutions based on a voxel-based optimization technique. The system also performs a voxel-based recommendation visualization technique.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

47.

GENERATING COLLABORATIVE DESIGNS FROM MULTIPLE CONTRIBUTORS

      
Numéro d'application 17718185
Statut En instance
Date de dépôt 2022-04-11
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abrégé

In various embodiments, a computer-implemented method for generating a multi-objective model shared between multiple participants comprises receiving a first input associated with a first selectable component in a set of pre-defined selectable components associated with a shared design model, where the first selectable component is a first component type that is associated with a first persona in a plurality of personas, and each persona includes a distinct set of design goals that the shared design model represents in a multi-objective design problem, in response to the first input, modifying the shared design model to generate a modified shared design model that includes the first selectable component, and generating, based on the modified shared design model, a set of candidate design solutions that satisfy the distinct sets of design goals, where each candidate design solution includes additional selectable components of a second component type.

Classes IPC  ?

48.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Numéro d'application 17832116
Statut En instance
Date de dépôt 2022-06-03
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abrégé

A voxel-based design approach enables the creating and modifying of a design model comprising a 3D grid of discrete voxels that is represented by a voxel data structure. The voxel data structure comprises voxel-level entries, each entry corresponding to a voxel based on the 3D location within the 3D grid. The voxel data structure includes a design-level entry for storing design-level performance metrics. The system updates the voxel data structure to reflect user modifications to the design model and renders a visualization of the updated design model. The system displays a per-voxel heat map for the design model for a selected performance metric based on the voxel data structure. The design system displays multiple optimized design solutions based on corresponding optimized voxel data structures. The system generates the multiple optimized design solutions based on a voxel-based optimization technique. The system also performs a voxel-based recommendation visualization technique.

Classes IPC  ?

  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06T 15/08 - Rendu de volume
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

49.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Numéro d'application 17832127
Statut En instance
Date de dépôt 2022-06-03
Date de la première publication 2023-09-21
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abrégé

A voxel-based design approach enables the creating and modifying of a design model comprising a 3D grid of discrete voxels that is represented by a voxel data structure. The voxel data structure comprises voxel-level entries, each entry corresponding to a voxel based on the 3D location within the 3D grid. The voxel data structure includes a design-level entry for storing design-level performance metrics. The system updates the voxel data structure to reflect user modifications to the design model and renders a visualization of the updated design model. The system displays a per-voxel heat map for the design model for a selected performance metric based on the voxel data structure. The design system displays multiple optimized design solutions based on corresponding optimized voxel data structures. The system generates the multiple optimized design solutions based on a voxel-based optimization technique. The system also performs a voxel-based recommendation visualization technique.

Classes IPC  ?

  • G06T 15/08 - Rendu de volume
  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06F 30/10 - CAO géométrique

50.

TECHNIQUES FOR TRIAL-AND-ERROR LEARNING IN COMPLEX APPLICATION ENVIRONMENTS

      
Numéro d'application 17965715
Statut En instance
Date de dépôt 2022-10-13
Date de la première publication 2023-09-14
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abrégé

One embodiment of a computer-implemented method for automatically tracking how extensively software application commands have been investigated comprises identifying an interaction with a first command occurring within a graphical user interface, wherein the first command is associated with one or more command parameters; updating a command history associated with the first command based on the interaction with the first command; computing a progress level associated with the first command based on the command history, wherein the progress level indicates how many command parameters included in the one or more command parameters have been modified; determining a coverage level associated with the first command based on the command history; and outputting at least one of the use level or the progress level for display in the graphical user interface.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06F 9/38 - Exécution simultanée d'instructions

51.

TECHNIQUES FOR TRIAL-AND-ERROR LEARNING IN COMPLEX APPLICATION ENVIRONMENTS

      
Numéro d'application 17965717
Statut En instance
Date de dépôt 2022-10-13
Date de la première publication 2023-09-14
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abrégé

One embodiment of a computer-implemented method for executing software application commands on practice data comprises identifying a command demonstration that is stored in a database based on a current command being interacted with in a graphical user interface, wherein the command demonstration is associated with sample application data; receiving a selection of whether to execute the command demonstration on the sample application data or current application data; causing the command demonstration to be executed on either the sample application data or a copy of current application data to generate modified data; and causing the modified data to be output within the graphical user interface.

Classes IPC  ?

  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
  • G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p.ex. des menus
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs

52.

DEFECT REMOVAL FROM MANUFACTURED OBJECTS HAVING MORPHED SURFACES

      
Numéro d'application 18141262
Statut En instance
Date de dépôt 2023-04-28
Date de la première publication 2023-09-14
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Lovell, David Patrick
  • Sousa, Daniela Sofia Seixas
  • Cheng, Chin-Yi

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface. Further, defects can be removed based on the third three dimensional model.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G05B 19/4097 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par l'utilisation de données de conception pour commander des machines à commande numérique [CN], p.ex. conception et fabrication assistées par ordinateur CFAO

53.

Techniques for trial-and-error learning in complex application environments

      
Numéro d'application 17965718
Numéro de brevet 11966293
Statut Délivré - en vigueur
Date de dépôt 2022-10-13
Date de la première publication 2023-09-14
Date d'octroi 2024-04-23
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abrégé

One embodiment of a computer-implemented method for automatically generating command recommendations for a software workflow comprises identifying a plurality of command sequences stored in a database based on a current command being interacted with in a graphical user interface; computing a score for each command sequence included in the plurality of command sequences based on one or more commands included in the command sequence and one or more commands included in a command history; determining at least one command sequence included in the plurality of command sequences to output based on the scores; and outputting the at least one command sequence for display.

Classes IPC  ?

  • G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p.ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
  • G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p.ex. des menus
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
  • G06F 9/38 - Exécution simultanée d'instructions
  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G09B 19/00 - Enseignement non couvert par d'autres groupes principaux de la présente sous-classe

54.

AUTODESK WORKSHOP XR

      
Numéro d'application 228543400
Statut En instance
Date de dépôt 2023-09-07
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Software as a service (SAAS) featuring software for architects, designers, engineers, and construction professionals for creating, designing, developing, rendering, manipulating, executing, viewing, revising, and displaying digital images, photographs, digital animation, graphics, and BIM data.

55.

COMPUTER AIDED GENERATIVE DESIGN WITH OVERALL THICKNESS CONTROL TO FACILITATE MANUFACTURING AND STRUCTURAL PERFORMANCE

      
Numéro d'application 18135055
Statut En instance
Date de dépôt 2023-04-14
Date de la première publication 2023-09-07
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Burla, Ravi Kumar
  • Eom, Jaesung
  • Rodriguez, Jesus

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where the three dimensional (3D) models of the physical structures are produced in accordance with a design criterion that limits a minimum thickness of the generatively designed 3D models, include: obtaining a design space for an object to be manufactured and one or more design criteria including a thickness constraint; iteratively modifying a generatively designed 3D shape of the modeled object in the design space in accordance with the one or more design criteria, including measuring a current thickness for the 3D shape using an overall relationship of a volume of the 3D shape with respect to a surface area of the 3D shape; and providing the generatively designed model for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems.

Classes IPC  ?

  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

56.

TECHNIQUES FOR ADAPTIVE ROBOTIC ASSEMBLY

      
Numéro d'application 18152980
Statut En instance
Date de dépôt 2023-01-11
Date de la première publication 2023-09-07
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Koga, Yoshihito Yotto
  • Chitta, Sachin
  • Kerrick, Heather

Abrégé

Techniques are disclosed for controlling robotic systems to perform assembly tasks. In some embodiments, a robot control application receives sensor data associated with one or more parts. The robot control application applies a grasp perception model to predict one or more grasp proposals indicating regions of the one or more parts that a robotic system can grasp. The robot control application causes the robotic system to grasp one of the parts based on a corresponding grasp proposal. If the pose of the grasped part needs to be changed in order to assemble the part with one or more other parts, the robot control application determines movements of the robotic system required to re-grasp the part in a different pose. In addition, the robot control application determines movements of the robot system for assembling the part with the one or more other parts based on results of a motion planning technique.

Classes IPC  ?

57.

COMPUTER-AIDED TECHNIQUES FOR AUTOMATICALLY GENERATING DESIGNS THAT REFLECT DESIGN INTENTS

      
Numéro d'application 17687535
Statut En instance
Date de dépôt 2022-03-04
Date de la première publication 2023-09-07
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Wang, Yi
  • Nourbakhsh, Mehdi
  • Zhao, Dale

Abrégé

In various embodiments, an intent-driven layout application automatically generates design for floor spaces. The intent-driven layout application generates a logic formula based on a statement of a design intent and at least one fuzzy geometric predicate. The intent-driven layout application computes, for a first spatial object, a set of desirability values for a set of candidate placements within a first design based on the logic formula. Based on the set of desirability values, the intent-driven layout application selects a first candidate placement from the set of candidate placements. Subsequently, the intent-driven layout application generates a second design based on the first design, where the first spatial object has the first candidate placement within the second design.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

58.

DETERMINING DRAINAGE CONSTRAINTS AND GEOMETRIES IN A TRIANGULAR MESH

      
Numéro d'application 17682891
Statut En instance
Date de dépôt 2022-02-28
Date de la première publication 2023-08-31
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Koch, Valentin R.
  • Hu, Weiwei

Abrégé

A method and system provide the ability to design a terrain surface. A triangular surface mesh representative of an existing surface is obtained and consists of triangles that are connected by vertices and edges. A drain intention is specified for the terrain surface through a geometry that is a point or line. The drain intention defines a drainage flow that influences a shape of the terrain surface. The mesh is modified using a Voronoi diagram that prevents a drain conflict between mesh triangles. A drain direction is autonomously determined a for each of the mesh triangles based on the drain intention. The determination generates a drain pattern that is used to shape the terrain surface.

Classes IPC  ?

  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation
  • G06T 17/05 - Modèles géographiques
  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

59.

IMMERSIVE ANALYSIS ENVIRONMENT FOR HUMAN MOTION DATA

      
Numéro d'application 17677826
Statut En instance
Date de dépôt 2022-02-22
Date de la première publication 2023-08-24
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Brudy, Frederik
  • Anderson, Fraser
  • Dachselt, Raimund
  • Fitzmaurice, George
  • Matejka, Justin Frank
  • Reipschläger, Patrick

Abrégé

One embodiment of a computer-implemented method for analyzing human motion data includes receiving a set of motion data that indicates one or more movements of a first person within a real-world environment; generating a virtual avatar corresponding to the first person based on the set of motion data; determining a position of the virtual avatar within an extended reality (ER) scene based on the one or more movements; and displaying the virtual avatar in the ER scene according to the determined position.

Classes IPC  ?

  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06V 40/20 - Mouvements ou comportement, p.ex. reconnaissance des gestes

60.

PROEST

      
Numéro d'application 228527800
Statut En instance
Date de dépôt 2023-08-18
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Downloadable computer software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting. (1) Software as a service (SAAS) services featuring software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting.

61.

Character animations in a virtual environment based on reconstructed three-dimensional motion data

      
Numéro d'application 17673403
Numéro de brevet 11908058
Statut Délivré - en vigueur
Date de dépôt 2022-02-16
Date de la première publication 2023-08-17
Date d'octroi 2024-02-20
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Anderson, Fraser
  • Fitzmaurice, George William
  • Wang, Cheng Yao
  • Zhou, Qian

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for providing editable keyframe-based animation data for applying to a character to animate motion of the character in three-dimensional space. Three-dimensional motion data is constructed from two-dimensional videos. The three-dimensional motion data represents movement of people in the two-dimensional videos and includes, for each person, a root of a three-dimensional skeleton of the person. The three-dimensional skeleton comprises multiple three-dimensional poses of the person during at least a portion of frames of a video from the two-dimensional videos. The three-dimensional motion data is converted into editable keyframe-based animation data in three-dimensional space and provided to animate motion.

Classes IPC  ?

  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
  • G06F 16/74 - Navigation; Visualisation à cet effet
  • G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments

62.

Methods and systems for generating lattice recommendations in computer-aided design applications

      
Numéro d'application 18128770
Numéro de brevet 11900029
Statut Délivré - en vigueur
Date de dépôt 2023-03-30
Date de la première publication 2023-07-27
Date d'octroi 2024-02-13
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Bandara, Konara Mudiyanselage Kosala
  • Shayani, Hooman

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for designing three dimensional lattice structures include, in one aspect, a method including: obtaining a mechanical problem definition including a 3D model of an object; generating a numerical simulation model for the 3D model of the object using one or more loading cases and one or more isotropic solid materials identified as a baseline material model for a design space; predicting performance of different lattice settings in different orientations in the design space using a lattice structural behavior model in place of the baseline material model in the numerical simulation model; and presenting a set of lattice proposals for the design space based on the predicted performance of the different lattice settings in the different orientations; wherein the lattice structural behavior model has been precomputed for the different lattice settings, which are generable by the 3D modeling program.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
  • G06F 111/10 - Modélisation numérique
  • G06F 119/18 - Analyse de fabricabilité ou optimisation de fabricabilité

63.

Predictive modeling and control for water resource infrastructure

      
Numéro d'application 18171971
Numéro de brevet 11815863
Statut Délivré - en vigueur
Date de dépôt 2023-02-21
Date de la première publication 2023-06-29
Date d'octroi 2023-11-14
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Gaffoor, Thouheed Abdul
  • Suthar, Megh
  • Mohamed, Yousra Hazem Khalil Helmy

Abrégé

A control mechanism scheduler for a water resource infrastructure receives operating data and disturbance data, the operating data describing infrastructure components of the water resource infrastructure, the disturbance data comprising a disturbance signal describing a disturbance expected to disturb the water resource infrastructure. The control mechanism scheduler generates classes for disturbance signals, generates simulations of the water resource infrastructure, and generates schedules of setpoints for control mechanisms actuable to control the infrastructure components of the water resource infrastructure in accordance with approaching a predetermined objective.

Classes IPC  ?

  • G05B 13/04 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
  • G06N 20/00 - Apprentissage automatique
  • G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
  • G06N 5/04 - Modèles d’inférence ou de raisonnement
  • E03B 7/02 - Réseaux de canalisations publiques ou autres canalisations maîtresses analogues
  • E03B 7/07 - Disposition des appareils, p.ex. filtres, commandes du débit, dispositifs de mesure, siphons, valves, dans les réseaux de canalisations

64.

GEOMETRY-BASED DESIGN DATA SEARCH TOOL

      
Numéro d'application 17564555
Statut En instance
Date de dépôt 2021-12-29
Date de la première publication 2023-06-29
Propriétaire Autodesk, Inc. (USA)
Inventeur(s) Zou, Ping

Abrégé

A method and system provide for searching a computer-aided design (CAD) drawing. A CAD drawing is obtained and includes vector based geometric entities. For each entity, primitives are extracted and held in a graph with graph nodes that record entity paths. A feature coordinate system is created for each of the entities using the primitives. The primitives are transformed from a world coordinate system to feature coordinates of the feature coordinate system. Geometry data of the transformed entities is encoded into index codes that are utilized in an index table as keys with the graph nodes as values. A target geometric entity is identified and a target index code is determined and used to query the index table to identify instances of the target geometric entity in the CAD drawing. Found instances in the CAD drawing are displayed in a visually distinguishable manner.

Classes IPC  ?

  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données
  • G06F 16/53 - Requêtes

65.

TECHNIQUES FOR ROBOTIC WORKCELL DESIGN

      
Numéro d'application 17548355
Statut En instance
Date de dépôt 2021-12-10
Date de la première publication 2023-06-15
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Atherton, Evan Patrick
  • Bidgoli, Ardavan

Abrégé

A computer-implemented method for generating and evaluating robotic workcell solutions includes: determining a plurality of locations within a workcell volume, wherein each location corresponds to a possible workcell solution; for each location included in the plurality of locations, determining a value for a first robot-motion attribute for a first robot based on position information associated with the location and a trajectory associated with a component of the first robot; and, for each location included in the plurality of locations, computing a first value for a first performance metric based on the value for the first robot-motion attribute.

Classes IPC  ?

66.

Multi-tooltip control for computer-aided manufacturing

      
Numéro d'application 17546586
Numéro de brevet 11809160
Statut Délivré - en vigueur
Date de dépôt 2021-12-09
Date de la première publication 2023-06-15
Date d'octroi 2023-11-07
Propriétaire Autodesk, Inc. (USA)
Inventeur(s) Kalay, Fikret

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for integrating control and operation of multi-tooltip processes with computer-aided manufacturing and/or design software and systems include method(s) including: obtaining toolpaths for manufacturing a physical structure and process control constraints, each of the toolpaths corresponding to a respective tooltip of a computer-controlled tool of a manufacturing system, each of the toolpaths designates a respective path for the respective tooltip within a workspace, and the process control constraints define capabilities of each of the respective tooltips within the workspace; defining a main toolpath and metadata defining operational parameters for the toolpaths based on the process control constraints; simulating manufacturing of the physical structure using the main toolpath and the metadata; and providing at least the main toolpath and the metadata for use in manufacturing the physical structure by the computer-controlled manufacturing system from the main toolpath and the metadata.

Classes IPC  ?

  • G05B 19/4097 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par l'utilisation de données de conception pour commander des machines à commande numérique [CN], p.ex. conception et fabrication assistées par ordinateur CFAO
  • G05B 19/19 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par systèmes de commande de positionnement ou de commande de contournage, p.ex. pour commander la position à partir d'un point programmé vers un autre point ou pour commander un mouvement le long d'un parcours continu programmé

67.

COMPUTER AIDED GENERATIVE DESIGN WITH FEATURE THICKNESS CONTROL TO FACILITATE MANUFACTURING AND STRUCTURAL PERFORMANCE

      
Numéro d'application 17707886
Statut En instance
Date de dépôt 2022-03-29
Date de la première publication 2023-06-08
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Weiss, Benjamin Mckittrick
  • Morris, Nigel Jed Wesley
  • Butscher, Adrian Adam Thomas
  • Rodriguez, Jesus

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design with feature thickness control, include: a three-dimensional modeling program configured to provide voxelized thinning based distance to medial surface processing that measures thicknesses in a three-dimensional model, and/or ramped scaling based thickness constraint application during shape and/or topology generation. The three-dimensional modeling program can be an architecture, engineering and/or construction program (e.g., building information management program), a product design and/or manufacturing program (e.g., a CAM program), and/or a media and/or entertainment production program (e.g., an animation production program).

Classes IPC  ?

  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO
  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
  • G06T 15/06 - Lancer de rayon

68.

GOAL-DRIVEN COMPUTER AIDED DESIGN WORKFLOW

      
Numéro d'application 18158406
Statut En instance
Date de dépôt 2023-01-23
Date de la première publication 2023-05-25
Propriétaire AUTODESK, INC. (USA)
Inventeur(s) Iorio, Francesco

Abrégé

A centralized design engine receives a problem specification from an end-user and classifies that problem specification in a large database of previously received problem specifications. Upon identifying similar problem specifications in the large database, the design engine selects design strategies associated with those similar problem specifications. A given design strategy includes one or more optimization algorithms, one or more geometry kernels, and one or more analysis tools. The design engine executes an optimization algorithm to generate a set of parameters that reflect geometry. The design engine then executes a geometry kernel to generate geometry that reflects those parameters, and generates analysis results for each geometry. The optimization algorithms may then improve the generated geometries based on the analysis results in an iterative fashion. When suitable geometries are discovered, the design engine displays the geometries to the end-user, along with the analysis results.

Classes IPC  ?

  • G06F 30/00 - Conception assistée par ordinateur [CAO]

69.

DOCUMENT TRACKING THROUGH VERSION HASH LINKED GRAPHS

      
Numéro d'application 18058149
Statut En instance
Date de dépôt 2022-11-22
Date de la première publication 2023-05-18
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Maguire, Robert Evon
  • Krishnaswamy, Ravinder P.

Abrégé

Embodiments of the invention provide the ability to track document versioning. Before executing an open operation on a first document version, a first before-hash is generated. After executing the open operation, a first after-hash is generated. Before executing a save operation, the first before-hash is acquired, and after execution (resulting in a second document version), a second after-hash of the second document version is generated. A version hash linked graph (VHLG) is generated and includes document nodes for the different document versions where each node includes a hash of that document version, a user-application node corresponding to the user or application that executed the operations, and edges connecting the nodes (e.g., that identify the operation and/or the document lineage) Based on the VHLG, a full history of a document is provided.

Classes IPC  ?

  • G06F 40/197 - Gestion des versions
  • G06F 16/901 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/93 - Systèmes de gestion de documents
  • G06F 16/13 - Structures d’accès aux fichiers, p.ex. indices distribués
  • G06F 16/14 - Systèmes de fichiers; Serveurs de fichiers - Détails de la recherche de fichiers basée sur les métadonnées des fichiers

70.

COMPUTER AIDED DESIGN WITH GEOMETRY FILTERING TO FACILITATE MANUFACTURING

      
Numéro d'application 17978836
Statut En instance
Date de dépôt 2022-11-01
Date de la première publication 2023-05-18
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Weiss, Benjamin Mckittrick
  • Rodriguez, Jesus
  • Ndip-Agbor, Ebot Etchu
  • Morris, Nigel Jed Wesley
  • Butscher, Adrian Adam Thomas

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using techniques that facilitate manufacturing, include: modifying a three dimensional shape, for which a corresponding physical structure is to be created using a manufacturing process, to produce a modified three dimensional shape; and providing the modified shape of the modeled object for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems that employ the manufacturing process. The modifications can include, for each of two or more discrete layers of the three dimensional shape along a direction associated with the manufacturing process, extracting a two dimensional profile representation of the three dimensional shape in a current discrete layer, offsetting the two dimensional profile representation by an amount associated with the manufacturing process, and changing a next discrete layer using an offset two dimensional profile representation of the current discrete layer.

Classes IPC  ?

  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur
  • B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive

71.

GENERATIVE DESIGN SHAPE OPTIMIZATION WITH SIZE LIMITED FATIGUE DAMAGE FOR COMPUTER AIDED DESIGN AND MANUFACTURING

      
Numéro d'application 18077948
Statut En instance
Date de dépôt 2022-12-08
Date de la première publication 2023-05-11
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Harris, Andrew John
  • Bandara, Konara Mudiyanselage Kosala
  • Szkurlat, Dagmara Lilianna
  • Butscher, Adrian Adam Thomas
  • Ruto, Anthony Christopher Kipkirui Yegon

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, A method includes obtaining, by a computer aided design program, a design space for a modeled object, one or more design criteria for the modeled object, one or more in-use load cases, and a critical fatigue crack length for a material from which A physical structure will be manufactured; iteratively modifying a generatively designed three dimensional shape of the modeled object in the design space in accordance with the critical fatigue crack length for the material, wherein the iteratively modifying comprises enforcing a design criterion that limits a minimum thickness of the generatively designed three dimensional shape, the minimum thickness being based on the critical fatigue crack length for the material.

Classes IPC  ?

  • G06F 30/23 - Optimisation, vérification ou simulation de l’objet conçu utilisant les méthodes des éléments finis [MEF] ou les méthodes à différences finies [MDF]
  • G06F 30/10 - CAO géométrique
  • B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
  • B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive

72.

THREE-DIMENSIONAL PRINTING

      
Numéro d'application 18086516
Statut En instance
Date de dépôt 2022-12-21
Date de la première publication 2023-05-11
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Bastian, Andreas Linas
  • Meess, Gregory David

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for working with three-dimensional object models for printing. One of the methods includes determining a plurality of infill structures in a slice of an object; and determining a path for the tool-head to create the plurality of infill structures including: determining a first portion of the path for deposition of a first infill structure during a first time period; determining a second portion of the path for deposition of one or more second infill structures that are not adjacent to the first infill structure during a second time period; and determining a third portion of the path for deposition of a third infill structure that is adjacent to the first infill structure, wherein the second time period is determined to allow the first infill structure to cool before deposition of the third infill structure.

Classes IPC  ?

  • B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
  • B33Y 10/00 - Procédés de fabrication additive
  • B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
  • B29C 64/106 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p.ex. dépôt d’un cordon continu de matériau visqueux
  • B29C 64/40 - Structures de support des objets en 3D pendant la fabrication, lesdites structures devant être sacrifiées après réalisation de la fabrication

73.

INTEGRATION OF A TWO-DIMENSIONAL INPUT DEVICE INTO A THREE-DIMENSIONAL COMPUTING ENVIRONMENT

      
Numéro d'application 18150156
Statut En instance
Date de dépôt 2023-01-04
Date de la première publication 2023-05-11
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abrégé

A workstation enables operation of a 2D input device with a 3D interface. A cursor position engine determines the 3D position of a cursor controlled by the 2D input device as the cursor moves within a 3D scene displayed on a 3D display. The cursor position engine determines the 3D position of the cursor for a current frame of the 3D scene based on a current user viewpoint, a current mouse movement, a CD gain value, a Voronoi diagram, and an interpolation algorithm, such as the Laplacian algorithm. A CD gain engine computes CD gain optimized for the 2D input device operating with the 3D interface. The CD gain engine determines the CD gain based on specifications for the 2D input device and the 3D display. The techniques performed by the cursor position engine and the techniques performed by the CD gain engine can be performed separately or in conjunction.

Classes IPC  ?

  • G06F 3/0346 - Dispositifs de pointage déplacés ou positionnés par l'utilisateur; Leurs accessoires avec détection de l’orientation ou du mouvement libre du dispositif dans un espace en trois dimensions [3D], p.ex. souris 3D, dispositifs de pointage à six degrés de liberté [6-DOF] utilisant des capteurs gyroscopiques, accéléromètres ou d’inclinaiso
  • G02B 30/50 - Systèmes ou appareils optiques pour produire des effets tridimensionnels [3D], p.ex. des effets stéréoscopiques l’image étant construite à partir d'éléments d'image répartis sur un volume 3D, p.ex. des voxels
  • G06F 3/038 - Dispositions de commande et d'interface à cet effet, p.ex. circuits d'attaque ou circuits de contrôle incorporés dans le dispositif
  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie

74.

PLATFORM FOR AUTHORING, STORING, AND SEARCHING WORKFLOWS

      
Numéro d'application 18146940
Statut En instance
Date de dépôt 2022-12-27
Date de la première publication 2023-05-04
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Look, Douglas
  • Rubio, Gonzalo
  • Ganguly, Arindam
  • Wallace, John
  • Arnold, Adam

Abrégé

An authoring platform for authoring a client workflow includes an arrangement of shapes representing steps and connections representing relationships between the steps. Online content retrieved from an online resource may be associated with steps of the client workflow. An authoring service receives the client workflow from the client interface via a network and directs a graph database to store a database workflow corresponding to the client workflow. A search platform is provided for creating and searching workflows using a tag database taxonomy. An author creates a workflow wherein a tag is linked to a workflow item. The workflow is stored as a database workflow and a node in the database workflow representing the workflow item is linked to a node in the database taxonomy representing the tag. Multiple workflows are created in a similar manner to link the workflows to the database taxonomy to provide efficient searching of the workflows.

Classes IPC  ?

  • G06F 16/242 - Formulation des requêtes
  • G06F 16/248 - Présentation des résultats de requêtes
  • G06F 16/954 - Navigation, p.ex. en utilisant la navigation par catégories
  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
  • G06Q 10/10 - Bureautique; Gestion du temps
  • H04L 67/01 - Protocoles

75.

Seamless three-dimensional design collaboration

      
Numéro d'application 18058121
Numéro de brevet 11960794
Statut Délivré - en vigueur
Date de dépôt 2022-11-22
Date de la première publication 2023-04-27
Date d'octroi 2024-04-16
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Reddy, Shatakirti
  • Nirupam, Nirupam
  • Kumar, Pradeep
  • Chauhan, Sandip Mansukhlal

Abrégé

A method, system, and article of manufacture provide for multi-user collaboration on a three-dimensional (3D) design. The 3D design is acquired in a computer-aided design (CAD) application. A commenting process for a comment to be associated with a selected part of the 3D design is activated. Textual user input for the comment is dynamically processed as the comment is received. The processing recognizes that the text relates to creating or modifying the selected part, retrieves a list of alternative parts (based on similarities between the alternative parts and the selected part), and displays a graphic representation of an alternative part. An alternative part is selected and inserted in the comment as a proposed replacement part. The comment including the proposed replacement part is provided to another user.

Classes IPC  ?

  • G06F 30/00 - Conception assistée par ordinateur [CAO]
  • G06F 40/205 - Analyse syntaxique
  • G06F 40/284 - Analyse lexicale, p.ex. segmentation en unités ou cooccurrence
  • G06F 40/30 - Analyse sémantique
  • G06F 111/02 - CAO dans un environnement de réseau, p.ex. CAO coopérative ou simulation distribuée
  • G06F 111/20 - CAO de configuration, p.ex. conception par assemblage ou positionnement de modules sélectionnés à partir de bibliothèques de modules préconçus

76.

ACAD

      
Numéro d'application 1725466
Statut Enregistrée
Date de dépôt 2022-11-11
Date d'enregistrement 2022-11-11
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer software and hardware. Cloud computing featuring software for computer aided design, graphics design, mechanical design, construction design, architectural design, interior design, engineering design, IT project management, and image processing software design; providing non-downloadable computer aided design software; computer project management services; hosting an Internet website portal offering information in the field of computer aided design; software as a service (SaaS) services featuring software for use in computer aided design, graphics design, mechanical design, construction design, architectural design, interior design, engineering design, IT project management, and image processing software design; providing online non-downloadable software for use in computer aided design, graphics design, mechanical design, construction design, architectural design, interior design, engineering design, IT project management, and image processing software design; platform as a service (PaaS) featuring computer software platforms for use in computer aided design, graphics design, mechanical design; construction design, architectural design, interior design, engineering design, IT project management, and image processing software design; providing online non-downloadable application programming interfaces software, and software development kits to enable software developers and businesses to develop software applications, products, and services; providing non-downloadable computer software development tools; hosting an internet website portal offering information on software development; software development consulting; software development; technical support services in the field of computer aided design.

77.

INTEGRATION OF A TWO-DIMENSIONAL INPUT DEVICE INTO A THREE-DIMENSIONAL COMPUTING ENVIRONMENT

      
Numéro d'application 17501337
Statut En instance
Date de dépôt 2021-10-14
Date de la première publication 2023-04-20
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abrégé

A workstation enables operation of a 2D input device with a 3D interface. A cursor position engine determines the 3D position of a cursor controlled by the 2D input device as the cursor moves within a 3D scene displayed on a 3D display. The cursor position engine determines the 3D position of the cursor for a current frame of the 3D scene based on a current user viewpoint, a current mouse movement, a CD gain value, a Voronoi diagram, and an interpolation algorithm, such as the Laplacian algorithm. A CD gain engine computes CD gain optimized for the 2D input device operating with the 3D interface. The CD gain engine determines the CD gain based on specifications for the 2D input device and the 3D display. The techniques performed by the cursor position engine and the techniques performed by the CD gain engine can be performed separately or in conjunction.

Classes IPC  ?

  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport
  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie

78.

AUTOCAD

      
Numéro d'application 225739000
Statut En instance
Date de dépôt 2023-04-11
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Design, development and providing temporary use of on-line non-downloadable operating software for accessing and using a cloud computing network for use by architects, interior designers, civil engineers, construction managers, computer aided designers, and graphics professionals; computer aided graphic design; providing a website featuring on-line non-downloadable software tools for image editing; providing an Internet website portal offering information in the field of computer aided design; providing on-line non-downloadable software for construction projects, home design, object design and computer graphics.

79.

INJECTION MOLDING WARP PREDICTION

      
Numéro d'application 17959221
Statut En instance
Date de dépôt 2022-10-03
Date de la première publication 2023-04-06
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Yuan, Zhongshuang
  • Bakharev, Alexander
  • Costa, Franco
  • Wang, Jin

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for injection molding warp prediction include: obtaining a mold model and measured shrinkage data for at least one material, predicting an amount of warpage for a part manufactured using the mold by computational simulation of an injection molding process, where the computational simulation uses an internal residual stress model for the part that uses calibrated values for both a coefficient of thermal expansion and an elastic modulus and/or a Poisson's ratio of the at least one material, in at least one direction, for at least thermal stress due to cooling and pressure compensation during and/or after a packing phase of the injection molding process, in accordance with the measured shrinkage data for the at least one material, and providing the amount of warpage predicted for the part manufactured using the mold.

Classes IPC  ?

  • B29C 45/76 - Mesure, commande ou régulation
  • B29C 45/00 - Moulage par injection, c. à d. en forçant un volume déterminé de matière à mouler par une buse d'injection dans un moule fermé; Appareils à cet effet

80.

MATERIAL SPECIFICATION TO FACILITATE PART CREATION IN COMPUTER AIDED DESIGN AND MANUFACTURE

      
Numéro d'application 17960036
Statut En instance
Date de dépôt 2022-10-04
Date de la première publication 2023-04-06
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Cohee, Robert Michael
  • Spencer, Joshua David
  • Gardiner, Garin Michael
  • Groh, Miroslav
  • Zatecka, Martin
  • Shao, Na
  • Prchlik, Vaclav

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of a part by generating a design aspect of a feature of the part with a material specification, include: receiving, by a computer aided design program, selection of a material specification for a part being designed for manufacturing; receiving, by the computer aided design program, input that defines a feature of the part; generating, by the computer aided design program, a design aspect of the feature in accordance with the material specification; and providing, by the computer aided design program, the feature with the design aspect, for facilitating the manufacturing of the part.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

81.

THREE-DIMENSIONAL SURFACE PATTERN GENERATION TO FACILITATE PART CREATION IN COMPUTER AIDED DESIGN AND MANUFACTURE

      
Numéro d'application 17960031
Statut En instance
Date de dépôt 2022-10-04
Date de la première publication 2023-04-06
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Banadyha, Andriy
  • Gardiner, Garin Michael
  • Spencer, Joshua David
  • Groh, Miroslav
  • Zatecka, Martin
  • Cohee, Robert Michael
  • Prchlik, Vaclav

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of a part by three-dimensional surface pattern generation, include: receiving input identifying (i) a pattern type, (ii) a three-dimensional feature to be used to modify a three-dimensional part, and (iii) a surface of the three-dimensional part being designed; generating varied copies of the three-dimensional feature in a three-dimensional space in which the three-dimensional part is defined, wherein an aspect of the three-dimensional feature varies for at least two of the varied copies of the three-dimensional feature in accordance with a function that is applied for the pattern type, and at least a portion of a range of the function is mapped to the three-dimensional space in accordance with the surface; and rendering a visualization of the varied copies of the three-dimensional feature to a display device presenting a user interface.

Classes IPC  ?

  • G05B 19/4097 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par l'utilisation de données de conception pour commander des machines à commande numérique [CN], p.ex. conception et fabrication assistées par ordinateur CFAO

82.

GENERATIVE DESIGN SHAPE OPTIMIZATION BASED ON A TARGET PART RELIABILITY FOR COMPUTER AIDED DESIGN AND MANUFACTURING

      
Numéro d'application 17459710
Statut En instance
Date de dépôt 2021-08-27
Date de la première publication 2023-03-23
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Harris, Andrew John
  • Butscher, Adrian Adam Thomas
  • Groom, Allin Irving
  • Bandara, Konara Mudiyanselage Kosala

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes: obtaining a design space and design criteria for a modeled object including a design constraint on an acceptable likelihood of failure, wherein a statistical model that relates a structural performance metric to specific likelihoods of failure for material(s) is used to translate between the acceptable likelihood of failure and a value for the structural performance metric; iteratively modifying a generatively designed shape of the modeled object in the design space in accordance with the design criteria including the design constraint to stay under the acceptable likelihood of failure for the physical structure, wherein the numerical simulation includes computing the structural performance metric, which is evaluated against the design constraint; and providing the generatively designed shape of the modeled object for use in manufacturing a physical structure.

Classes IPC  ?

  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur
  • G06F 30/17 - Conception mécanique paramétrique ou variationnelle
  • G05B 19/4093 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par la programmation de pièce, p.ex. introduction d'une information géométrique dérivée d'un dessin technique, combinaison de cette information avec l'information d'usinage et de matériau pour obtenir une information de commande, appelée

83.

Techniques for visualizing probabilistic data generated when designing mechanical assemblies

      
Numéro d'application 18058210
Numéro de brevet 11726643
Statut Délivré - en vigueur
Date de dépôt 2022-11-22
Date de la première publication 2023-03-16
Date d'octroi 2023-08-15
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Cheong, Hyunmin
  • Ebrahimi, Mehran
  • Butscher, Adrian

Abrégé

A design engine implements a probabilistic approach to generating designs that exposes automatically-generated design knowledge to the user during operation. The design engine interactively generates successive populations of designs based on a problem definition associated with a design problem and/or a previously-generated population of designs. During the above design process, the design engine generates a design knowledge graphical user interface (GUI) that graphically exposes various types of design knowledge to the user. In particular, the design engine generates a design variable dependency GUI that visualizes various dependencies between designs variables. The design engine also generates a design evolution GUI that animates the evolution of designs across the successive design populations. Additionally, the design engine generates a design exploration GUI that facilitates the user exploring various statistical properties of automatically-generated designs.

Classes IPC  ?

  • G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
  • G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
  • G06F 30/00 - Conception assistée par ordinateur [CAO]

84.

PROEST

      
Numéro de série 97840967
Statut Enregistrée
Date de dépôt 2023-03-15
Date d'enregistrement 2023-12-05
Propriétaire Autodesk, Inc. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software as a service (SAAS) services featuring software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting

85.

PROEST

      
Numéro de série 97840960
Statut Enregistrée
Date de dépôt 2023-03-15
Date d'enregistrement 2023-12-05
Propriétaire Autodesk, Inc. ()
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

downloadable computer software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting software as a service (SAAS) services featuring software for construction project management, lead generation and management, proposal and bid creation and management, bid analysis, calculating and tracking material, labor, equipment, and other costs, pre-project management, customer communications, accounting integration, real-time collaboration, cost forecasting, construction data analytics, contract and document management, quality and safety management, construction customer relationship management, and construction reporting

86.

AUTODESK WORKSHOP XR

      
Numéro de série 97830580
Statut En instance
Date de dépôt 2023-03-09
Propriétaire Autodesk, Inc. ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software as a service (SAAS) featuring software for architects, designers, engineers, and construction professionals for creating, designing, developing, rendering, manipulating, executing, viewing, revising, and displaying digital images, photographs, digital animation, graphics, and BIM data

87.

Techniques for analyzing vehicle design deviations using deep learning with neural networks

      
Numéro d'application 18045809
Numéro de brevet 11842262
Statut Délivré - en vigueur
Date de dépôt 2022-10-11
Date de la première publication 2023-03-02
Date d'octroi 2023-12-12
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Nagy, Danil
  • Noviello, Daniel
  • Stoddart, James
  • Benjamin, David
  • Lau, Damon

Abrégé

A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existing vehicles into the latent space representation to generate a first latent space location. The first latent space location represents the characteristic style associated with the fleet of pre-existing vehicles. The design application encodes a sample design provided by a user into the latent space representation to produce a second latent space location. The design application then determines a distance between the first latent space location and the second latent space location. Based on the distance, the design application generates a style metric that indicates the aesthetic similarity between the sample design and the vehicle designs associated with the fleet of pre-existing vehicles. The design application can also generate new vehicle designs based on the latent space representation and the sample design.

Classes IPC  ?

  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 3/045 - Combinaisons de réseaux
  • G06F 17/15 - Calcul de fonction de corrélation
  • G06N 3/08 - Méthodes d'apprentissage
  • G06F 30/15 - Conception de véhicules, d’aéronefs ou d’embarcations

88.

CLOUD-ENABLED GENERATION OF CONSTRUCTION METRICS AND DOCUMENTATION

      
Numéro d'application 18046819
Statut En instance
Date de dépôt 2022-10-14
Date de la première publication 2023-03-02
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Tierney, Patrick Liam Colm
  • Oak, Abhijit

Abrégé

A method, apparatus, system, and computer program product generates construction metrics. Building means, methods, and limitations of construction for one or more companies are gathered in a computer. A digital building information model (BIM) is acquired. Fabrication and construction parameters are extracted from the BIM. Construction metrics (for the BIM) are generated by combining the building means, methods, and limitations with the extracted fabrication and construction parameters. The construction metrics are then visualized in a modeling application and/or used to output construction process documentation.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
  • G06Q 50/08 - Construction

89.

GENERATIVE DESIGN TECHNIQUES FOR AUTOMOBILE DESIGNS

      
Numéro d'application 18047607
Statut En instance
Date de dépôt 2022-10-18
Date de la première publication 2023-03-02
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Stoddart, James
  • Benjamin, David
  • Nagy, Danil
  • Lau, Damon

Abrégé

In various embodiments, a generative design application generates and evaluates automotive designs. In operation, the generative design application computes a first set of metric values based on a set of metrics associated with design goal(s) and a first set of parameter values for a parameterized automobile model. The generative design application then performs optimization operation(s) on the first set of parameter values based on the first set of metric values to generate a second set of parameter values. Subsequently, the generative design application generates at least one design based on the second set of parameter values that is more convergent with respect to at least one of the design goals than a previously generated design. Advantageously, less time and effort are required to generate and evaluate multiple designs and then optimize those designs relative to more manual prior art approaches.

Classes IPC  ?

  • G06F 30/15 - Conception de véhicules, d’aéronefs ou d’embarcations
  • B62D 65/00 - Tracé, fabrication, p.ex. assemblage, mesures pour faciliter le désassemblage, ou modification de la structure des véhicules à moteurs ou des remorques, non prévus ailleurs

90.

CONVERSION OF GEOMETRY TO BOUNDARY REPRESENTATION WITH FACILITATED EDITING FOR COMPUTER AIDED DESIGN AND 2.5-AXIS SUBTRACTIVE MANUFACTURING

      
Numéro d'application 17945008
Statut En instance
Date de dépôt 2022-09-14
Date de la première publication 2023-02-23
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Willis, Karl Darcy Daniel
  • Morris, Nigel Jed Wesley
  • Bastian, Andreas Linas
  • Butscher, Adrian Adam Thomas
  • Grandi, Daniele
  • Furuta, Suguru
  • Lambourne, Joseph George
  • Barback, Tristan Ward
  • Marinov, Martin Cvetanov
  • Amagliani, Marco
  • Chen, Jingyang John
  • Smell, Michael Andrew
  • Frank, Brian M.
  • Shayani, Hooman
  • Wade, Christopher Michael
  • Santhanam, Nandakumar

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.

Classes IPC  ?

  • G06F 30/00 - Conception assistée par ordinateur [CAO]
  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation

91.

COMPUTER-BASED TECHNIQUES FOR VISUALLY NARRATING RECORDED MEETING CONTENT

      
Numéro d'application 17671286
Statut En instance
Date de dépôt 2022-02-14
Date de la première publication 2023-01-26
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Aseniero, Bon Adriel
  • Fitzmaurice, George
  • Matejka, Justin Frank
  • Sultanum, Nicole Barbosa

Abrégé

In various embodiments, a meeting narration application generates visualizations of recorded meeting data. The meeting narration application generates a first visualization of a set of parameters based on a set of transcript sentences associated with the recorded meeting data. The meeting narration application displays the first visualization and a first expanded content visualization of a first transcript sentence included in the set of transcript sentences within a graphical user interface (GUI). Subsequently, the meeting narration application receives a user event associated with the first visualization via the GUI. The meeting narration application modifies a first parameter selection associated with the set of parameters based on the user event to generate a modified parameter selection. Based on the modified parameter selection, the meeting narration application displays a first compressed content visualization of the first transcript sentence within the GUI.

Classes IPC  ?

  • G06F 3/04847 - Techniques d’interaction pour la commande des valeurs des paramètres, p.ex. interaction avec des règles ou des cadrans
  • G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles
  • G06F 3/04817 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport utilisant des icônes
  • G10L 17/14 - Par catégorisation phonémique ou reconnaissance de la parole avant identification ou vérification du locuteur
  • G06F 3/16 - Entrée acoustique; Sortie acoustique
  • G10L 25/57 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour le traitement des signaux vidéo
  • G06F 40/166 - Traitement de texte Édition, p.ex. insertion ou suppression

92.

GENERATIVE SHELL DESIGN FOR SIMULATIONS

      
Numéro d'application 17933701
Statut En instance
Date de dépôt 2022-09-20
Date de la première publication 2023-01-19
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Grau, Michael
  • Harris, Andrew John

Abrégé

A method and system provide the ability to generate models. A generative shelled base is created as a hollow computer-aided design (CAD) design. A t-spline mid-surface shell is created from the generative shelled base, which is then used to create a shell mesh model. A t-spline solid body is created from the generative shelled base, which is used to create an internal support structure that is converted into a shell CAD geometry, which is used to create a support structure mid-surface shell. The support structure mid-surface shell is combined with the shell mesh model into a generative mid-surface mesh that is used in a computer-aided engineering (CAE) crash simulation. The generated shelled base is combined with the shell CAD geometry into a generative shelled solid that is utilized in an additive build simulation.

Classes IPC  ?

  • G06F 30/15 - Conception de véhicules, d’aéronefs ou d’embarcations
  • G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO

93.

Integration of a two-dimensional input device into a three-dimensional computing environment

      
Numéro d'application 17501351
Numéro de brevet 11550406
Statut Délivré - en vigueur
Date de dépôt 2021-10-14
Date de la première publication 2023-01-10
Date d'octroi 2023-01-10
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abrégé

A workstation enables operation of a 2D input device with a 3D interface. A cursor position engine determines the 3D position of a cursor controlled by the 2D input device as the cursor moves within a 3D scene displayed on a 3D display. The cursor position engine determines the 3D position of the cursor for a current frame of the 3D scene based on a current user viewpoint, a current mouse movement, a CD gain value, a Voronoi diagram, and an interpolation algorithm, such as the Laplacian algorithm. A CD gain engine computes CD gain optimized for the 2D input device operating with the 3D interface. The CD gain engine determines the CD gain based on specifications for the 2D input device and the 3D display. The techniques performed by the cursor position engine and the techniques performed by the CD gain engine can be performed separately or in conjunction.

Classes IPC  ?

  • G06F 3/0346 - Dispositifs de pointage déplacés ou positionnés par l'utilisateur; Leurs accessoires avec détection de l’orientation ou du mouvement libre du dispositif dans un espace en trois dimensions [3D], p.ex. souris 3D, dispositifs de pointage à six degrés de liberté [6-DOF] utilisant des capteurs gyroscopiques, accéléromètres ou d’inclinaiso
  • G02B 30/50 - Systèmes ou appareils optiques pour produire des effets tridimensionnels [3D], p.ex. des effets stéréoscopiques l’image étant construite à partir d'éléments d'image répartis sur un volume 3D, p.ex. des voxels
  • G06F 3/038 - Dispositions de commande et d'interface à cet effet, p.ex. circuits d'attaque ou circuits de contrôle incorporés dans le dispositif
  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie

94.

3DS MAX

      
Numéro d'application 1705195
Statut Enregistrée
Date de dépôt 2022-10-28
Date d'enregistrement 2022-10-28
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer programs for animating, modeling and rendering images, for use in computer aided design, animation, graphics, game design and design modeling applications. Providing non-downloadable computer programs for animating, modeling and rendering images, for use in computer aided design, animation, graphics, film production, television production, special effects, game design, design modeling applications and design visualization projects.

95.

VOLUMETRIC KERNEL REPRESENTATION OF THREE DIMENSIONAL MODELS

      
Numéro d'application 17742309
Statut En instance
Date de dépôt 2022-05-11
Date de la première publication 2022-12-22
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Tourangeau, Vincent Stanley
  • Dayanand, Sriram
  • Michalatos, Panagiotis
  • Fowler, Gregory William
  • Santhanam, Ramesh

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for volumetric kernel representation of three dimensional models include: modeling a three dimensional object using a volumetric representation including fields that determine volumetric properties, each of the fields being parameterized by an input and output tensor structure, and at least one of the fields mapping tensor output of a first of the fields to tensor input of a second of the fields to provide a unified framework for geometry manipulation and composition that encompasses both discrete and continuous representations of materials in the three dimensional space; evaluating the fields including using coverage values that determine compositing behavior to generate output data corresponding to the volumetric properties; and providing the output data for the three dimensional object having physical characteristics that vary from point to point within a volume of the three dimensional object in accordance with the volumetric properties.

Classes IPC  ?

  • B22F 10/80 - Acquisition ou traitement des données
  • G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur
  • B33Y 50/00 - Acquisition ou traitement de données pour la fabrication additive

96.

INNOVYZE

      
Numéro d'application 1701317
Statut Enregistrée
Date de dépôt 2022-10-27
Date d'enregistrement 2022-10-27
Propriétaire Autodesk, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Downloadable computer software for water, sewer, storm, and flood management systems; downloadable software for use in designing, modeling, optimizing, and managing water, sewer, storm, and flood management systems; downloadable computer software for use in the field of water and environmental management; downloadable computer software for analyzing, managing, and visualizing time series data, map-based information, and spatial-temporal analytics for use in managing, operating, and evaluating the performance of water management systems, assets, and networks; downloadable computer software for real-time monitoring and control of stormwater and wastewater collection systems and of water distribution systems; downloadable computer software for designing water and sewer systems; downloadable computer software for designing, planning, and expanding sanitary sewer collection systems; downloadable computer software for optimizing operational performance in water distribution systems; downloadable computer software for accessing, viewing, and managing real-time and historical data and an event management database in the fields of drinking water, wastewater, stormwater, river, and combined systems; downloadable computer software that manages the exchange of real-time data from sensors, meters, data loggers, and other data acquisition systems with other software applications; downloadable computer software for assessing parameter trends in water distribution systems for the purpose of displaying anomalies; downloadable computer software for estimating water usage patterns using real-time hydraulic measurements of pressure and flow rate in distribution systems; downloadable computer software for use by water utilities operations for identifying main breaks, leaks, and abnormal water quality events in drinking water distribution piping systems; downloadable computer software for operating water systems and waste water draining systems; downloadable computer software for hydraulic analysis calculations; downloadable computer software used to manage, analyze, view, query, and report on the hydraulic and water quality performance of water, wastewater, and urban drainage systems; downloadable computer software for use in the hydraulic analysis and master planning of storm sewer collection systems and storm water management; downloadable computer software for displaying and analyzing hydraulic infrastructure information within water and sewer systems, and for modeling results related thereto; downloadable computer software featuring artificial intelligence for optimizing water operations. Software as a service (saas) featuring computer software for water, sewer, storm, and flood management systems; software as a service (saas) featuring software for use in designing, modeling, optimizing, and managing water, sewer, storm, and flood management systems; software as a service (saas) featuring computer software for use in the field of water and environmental management; software as a service (saas) featuring computer software for analyzing, managing, and visualizing time series data, map-based information, and spatial-temporal analytics for use in managing, operating, and evaluating the performance of water management systems, assets, and networks; software as a service (saas) featuring computer software for real-time monitoring and control of stormwater and wastewater collection systems and of water distribution systems; software as a service (saas) featuring computer software for designing water and sewer systems; software as a service (saas) featuring computer software for designing, planning, and expanding sanitary sewer collection systems; software as a service (saas) featuring computer software for optimizing operational performance in water distribution systems; software as a service (saas) featuring computer software for accessing, viewing, and managing real-time and historical data and an event management database in the fields of drinking water, wastewater, stormwater, river, and combined systems; software as a service (saas) featuring computer software that manages the exchange of real-time data from sensors, meters, data loggers, and other data acquisition systems with other software applications; software as a service (saas) featuring computer software for assessing parameter trends in water distribution systems for the purpose of displaying anomalies; software as a service (saas) featuring computer software for estimating water usage patterns using real-time hydraulic measurements of pressure and flow rate in distribution systems; software as a service (saas) featuring computer software for use by water utilities operations for identifying main breaks, leaks, and abnormal water quality events in drinking water distribution piping systems; software as a service (saas) featuring computer software for operating water systems and waste water draining systems; software as a service (saas) featuring computer software for hydraulic analysis calculations; software as a service (saas) featuring computer software used to manage, analyze, view, query, and report on the hydraulic and water quality performance of water, wastewater, and urban drainage systems; software as a service (saas) featuring computer software for use in the hydraulic analysis and master planning of storm sewer collection systems and storm water management; software as a service (saas) featuring computer software for displaying and analyzing hydraulic infrastructure information within water and sewer systems, and for modeling results related thereto; software as a service (saas) featuring computer software featuring artificial intelligence for optimizing water operations; design, development and updating of computer software for others for use in a variety of engineering and simulation fields and applications, namely, hydraulic and hydrology engineering applications, engineering design applications; environmental engineering; providing consulting services to utilities, government agencies, engineering consultants, private corporations, universities and research foundations in a variety of fields, industries and applications, namely, hydraulic and hydrology engineering applications, engineering applications, engineering design applications, computer modeling and simulation, project planning and management applications related to engineering, planning, and design; engineering services, particularly technical project planning and management, environmental engineering applications, quality control applications, and water treatment and distribution; business technology software consultation services providing computer software technical support services related to developed software applications.

97.

Automated generation and evaluation of architectural designs

      
Numéro d'application 17820867
Numéro de brevet 11748527
Statut Délivré - en vigueur
Date de dépôt 2022-08-18
Date de la première publication 2022-12-08
Date d'octroi 2023-09-05
Propriétaire AUTODESK, INC. (USA)
Inventeur(s)
  • Stoddart, James
  • Nagy, Danil
  • Benjamin, David
  • Villagi, Lorenzo

Abrégé

A design engine is configured to interact with potential occupants of a structure in order to generate data that defines the usage preferences of those occupants. The design engine generates multiple candidate designs for the structure via a generative design process, and then evaluates each candidate design using a set of metrics determined relative to the usage preferences. Based on these evaluations, the design engine selects at least one candidate design that optimizes the set of metrics across all potential occupants.

Classes IPC  ?

  • G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes

98.

HYBRID ADDITIVE AND SUBTRACTIVE MANUFACTURING

      
Numéro d'application 17760746
Statut En instance
Date de dépôt 2020-09-18
Date de la première publication 2022-12-01
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Sanders, Lee
  • Bowerman, Robert
  • Hamilton, Kelvin Samuel Allan

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using hybrid additive and subtractive manufacturing include, in one aspect, a method including: obtaining data for 3D geometry of a part; simulating at least a portion of a manufacturing process that includes adding first material in a first stage and removing second material in a second, subsequent stage, where the second material includes a portion of the first material, removing the second material includes blending between the material added in the first and second stages, and thermal effects of adding and removing the material in the first and second stages is simulated; and adjusting an amount of the portion based on results of the simulating to prevent deviation of the part from the three dimensional geometry that results in not enough material being available for the blending.

Classes IPC  ?

  • B22F 10/80 - Acquisition ou traitement des données
  • B33Y 50/00 - Acquisition ou traitement de données pour la fabrication additive
  • G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p.ex. fabrication assistée par ordinateur

99.

COMPUTER AIDED GENERATIVE DESIGN WITH FILTERING TO FACILITATE 2.5-AXIS SUBTRACTIVE MANUFACTURING PROCESSES

      
Numéro d'application 17875286
Statut En instance
Date de dépôt 2022-07-27
Date de la première publication 2022-11-24
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Eom, Jaesung
  • Burla, Ravi Kumar
  • Rodriguez, Jesus
  • Weiss, Benjamin Mckittrick
  • Li, Nan

Abrégé

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where the 3D models of the physical structures are produced so as to facilitate manufacturing of the physical structures using 2.5-axis subtractive manufacturing systems and techniques, include: obtaining a design space for an object to be manufactured, design criteria, and load case(s); iteratively modifying a generatively designed 3D shape of the modeled object, including generating 2D profile representations (corresponding to discrete layers) of an updated version of the 3D shape, extruding the 2D profile representations along the milling direction, and forming a next version of the 3D shape of the modeled object from a combination of the 3D representations produced by the extruding; and providing the generatively designed 3D shape of the modeled object for use in manufacturing the physical structure using a 2.5-axis subtractive manufacturing process.

Classes IPC  ?

  • G05B 19/414 - Structure du système de commande, p.ex. automate commun ou systèmes à multiprocesseur, interface vers le servo-contrôleur, contrôleur à interface programmable
  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G05B 19/418 - Commande totale d'usine, c.à d. commande centralisée de plusieurs machines, p.ex. commande numérique directe ou distribuée (DNC), systèmes d'ateliers flexibles (FMS), systèmes de fabrication intégrés (IMS), productique (CIM)

100.

APPLICATION ONBOARDING TUTORIAL SYSTEM

      
Numéro d'application 17743710
Statut En instance
Date de dépôt 2022-05-13
Date de la première publication 2022-11-17
Propriétaire Autodesk, Inc. (USA)
Inventeur(s)
  • Chan, Matthew
  • Adams, Trevor
  • Dehghani, Kourosh
  • Ouellet, Simon

Abrégé

A method and system provide the ability to operate a three-dimensional (3D) computer animation and visual effects application (3D application). An interactive tutorial is initialized to perform an operation in the 3D application. The operation consists of a series of two or more steps and is a 3D animation, modeling, or visual effect operation. A text instruction for performing a first step of the two or more steps is displayed. User input is received, and a determination is made regarding whether the input successfully completes the first step. If not successfully completed, the tutorial waits for additional user input. If the user input results in a successful completion of the first step, the tutorial repeats until additional steps of the operation are also completed.

Classes IPC  ?

  • G09B 19/00 - Enseignement non couvert par d'autres groupes principaux de la présente sous-classe
  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels
  • G06T 17/20 - Description filaire, p.ex. polygonalisation ou tessellation
  • G06T 11/60 - Edition de figures et de texte; Combinaison de figures ou de texte
  • G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
  • G09B 5/02 - Matériel à but éducatif à commande électrique avec présentation visuelle du sujet à étudier, p.ex. en utilisant une bande filmée
  1     2     3     ...     16        Prochaine page