Autodesk, Inc.

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G06F 17/50 - Computer-aided design 172
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1.

COMPUTER AIDED SHAPE SYNTHESIS WITH CONNECTIVITY FILTERING

      
Application Number 18240185
Status Pending
Filing Date 2023-08-30
First Publication Date 2024-04-18
Owner Autodesk, Inc. (USA)
Inventor
  • Burla, Ravi Kumar
  • Liang, Lihao
  • Weiss, Benjamin Mckittrick
  • Morrison, Andrew Allan

Abstract

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).

IPC Classes  ?

  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

2.

GENERATING COOLING CHANNELS FOR COOLING MOLDS

      
Application Number 17958157
Status Pending
Filing Date 2022-09-30
First Publication Date 2024-04-11
Owner Autodesk, Inc. (USA)
Inventor
  • Liang, Lihao
  • Kietzmann, Clinton Van Lingen
  • Markovic, Nikola Marko
  • Bin Abu Bakar, Akmal Ariff
  • Astbury, David Ross

Abstract

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.

IPC Classes  ?

  • G06F 30/17 - Mechanical parametric or variational design

3.

VRED

      
Application Number 1783216
Status Registered
Filing Date 2024-01-30
Registration Date 2024-01-30
Owner Autodesk, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17958145
Status Pending
Filing Date 2022-09-30
First Publication Date 2024-04-04
Owner Autodesk, Inc. (USA)
Inventor
  • Markovic, Nikola Marko
  • Bin Abu Bakar, Akmal Ariff
  • Astbury, David Ross
  • Kietzmann, Clinton Van Lingen
  • Yu, Huagang

Abstract

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.

IPC Classes  ?

  • B29C 45/73 - Heating or cooling of the mould
  • B29C 45/80 - Measuring, controlling or regulating of relative position of mould parts

5.

AGENT-BASED OPTIMIZATION OF MULTI-BUILDING SITE LAYOUTS

      
Application Number 18167032
Status Pending
Filing Date 2023-02-09
First Publication Date 2024-03-28
Owner AUTODESK, INC. (USA)
Inventor
  • Stoddart, James
  • Villaggi, Lorenzo

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/20 - Design optimisation, verification or simulation

6.

MODULAR GENERATION AND OPTIMIZATION OF BUILDING DESIGNS

      
Application Number 18167033
Status Pending
Filing Date 2023-02-09
First Publication Date 2024-03-28
Owner AUTODESK, INC. (USA)
Inventor
  • Stoddart, James
  • Davis, Mark Thomas
  • Villaggi, Lorenzo

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/20 - Design optimisation, verification or simulation

7.

NAVIGATION AND VIEW SHARING SYSTEM FOR REMOTE COLLABORATION

      
Application Number 18240646
Status Pending
Filing Date 2023-08-31
First Publication Date 2024-03-28
Owner Autodesk, Inc. (USA)
Inventor
  • Menon, Ajay Vijayabalan
  • Morel, Sebastien
  • Casallas Suarez, Juan Sebastian
  • Scannell, Brent
  • Ghoussoub, Akram
  • Fonta, Nicolas

Abstract

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.

IPC Classes  ?

8.

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

      
Application Number 18446339
Status Pending
Filing Date 2023-08-08
First Publication Date 2024-03-28
Owner AUTODESK, INC. (USA)
Inventor
  • Liu, Vivian
  • Vermeulen, Jo Karel
  • Fitzmaurice, George William
  • Matejka, Justin Frank

Abstract

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.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

9.

MULTI-SCALE GENERATIVE DESIGN FOR MODULAR CONSTRUCTION

      
Application Number 18167036
Status Pending
Filing Date 2023-02-09
First Publication Date 2024-03-28
Owner AUTODESK, INC. (USA)
Inventor
  • Stoddart, James
  • Davis, Mark Thomas
  • Villaggi, Lorenzo

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/20 - Design optimisation, verification or simulation

10.

TECHNIQUES INCORPORATED INTO DESIGN SOFTWARE FOR GENERATING SUSTAINABILITY INSIGHTS

      
Application Number 18329497
Status Pending
Filing Date 2023-06-05
First Publication Date 2024-03-21
Owner AUTODESK, INC. (USA)
Inventor
  • 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

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

11.

TECHNIQUES INCORPORATED INTO DESIGN SOFTWARE FOR GENERATING SUSTAINABILITY INSIGHTS

      
Application Number 18329502
Status Pending
Filing Date 2023-06-05
First Publication Date 2024-03-21
Owner AUTODESK, INC. (USA)
Inventor
  • 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

Abstract

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.

IPC Classes  ?

  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
  • G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
  • G06F 3/04842 - Selection of displayed objects or displayed text elements
  • G06T 3/40 - Scaling of a whole image or part thereof
  • G06T 11/00 - 2D [Two Dimensional] image generation

12.

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

      
Application Number 18363327
Status Pending
Filing Date 2023-08-01
First Publication Date 2024-03-14
Owner Autodesk, Inc. (USA)
Inventor
  • Weinberg, David Jon
  • Kim, Nam Ho

Abstract

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.

IPC Classes  ?

  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

13.

PREDICTIVE MODELING AND CONTROL FOR WATER RESOURCE INFRASTRUCTURE

      
Application Number 18509091
Status Pending
Filing Date 2023-11-14
First Publication Date 2024-03-14
Owner Autodesk, Inc. (USA)
Inventor
  • Gaffoor, Thouheed Abdul
  • Suthar, Megh
  • Mohamed, Yousra Hazem Khalil Helmy

Abstract

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.

IPC Classes  ?

  • G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06N 5/04 - Inference or reasoning models
  • G06N 20/00 - Machine learning

14.

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

      
Application Number 18452780
Status Pending
Filing Date 2023-08-21
First Publication Date 2024-02-29
Owner Autodesk, Inc. (USA)
Inventor
  • Huang, Junxiang
  • Huang, Alexander
  • Guerra, Beatriz Chinelato
  • Yu, Yen-Yun

Abstract

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.

IPC Classes  ?

  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

15.

MACHINE LEARNING TECHNIQUES FOR GENERATING INVERSE KINEMATIC MODELS FOR CHARACTER ANIMATION

      
Application Number 17822106
Status Pending
Filing Date 2022-08-24
First Publication Date 2024-02-29
Owner AUTODESK, INC. (USA)
Inventor
  • Atherton, Evan Patrick
  • Tran, Dieu Linh

Abstract

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.

IPC Classes  ?

16.

TECHNIQUES FOR SOLVING INVERSE KINEMATIC PROBLEMS USING TRAINED MACHINE LEARNING MODELS

      
Application Number 17822108
Status Pending
Filing Date 2022-08-24
First Publication Date 2024-02-29
Owner AUTODESK, INC. (USA)
Inventor
  • Atherton, Evan Patrick
  • Tran, Dieu Linh

Abstract

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.

IPC Classes  ?

  • G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings

17.

ADVANCED BUILDING SYSTEMS AND ELEMENTS FOR SPACE DESIGN

      
Application Number 17822855
Status Pending
Filing Date 2022-08-29
First Publication Date 2024-02-29
Owner Autodesk, Inc. (USA)
Inventor
  • Wold, Espen Kristian Wulff
  • Hallén, Martin
  • Karlsen, Markus Reppen
  • Chaudhry, Bilal Zia
  • Vatn, Klara Kristina
  • Bjelland, Arne Folkestad

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

18.

TOOLPATH GENERATION BY REINFORCEMENT LEARNING FOR COMPUTER AIDED MANUFACTURING

      
Application Number 18240703
Status Pending
Filing Date 2023-08-31
First Publication Date 2024-02-22
Owner Autodesk, Inc. (USA)
Inventor
  • Lovell, David Patrick
  • Bin Abu Bakar, Akmal Ariff
  • Mehan, Saaras

Abstract

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.

IPC Classes  ?

  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G05B 19/4097 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
  • G06F 30/10 - Geometric CAD
  • G06N 3/045 - Combinations of networks

19.

CONSTRAINT BASED AUTOMATIC TERRAIN SURFACE DESIGN

      
Application Number 18487765
Status Pending
Filing Date 2023-10-16
First Publication Date 2024-02-22
Owner Autodesk, Inc. (USA)
Inventor
  • Koch, Valentin R.
  • Bergeron, Patrick A.
  • Zeeben, Nicholas James
  • Xue, Qing
  • Hu, Weiwei

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

20.

NAVIGATION AND VIEW SHARING SYSTEM FOR REMOTE COLLABORATION

      
Application Number 17887371
Status Pending
Filing Date 2022-08-12
First Publication Date 2024-02-15
Owner Autodesk, Inc. (USA)
Inventor
  • Brudy, Frederik
  • Miller, Matthew K.
  • Grossman, Tovi
  • Fitzmaurice, George William
  • Anderson, Fraser

Abstract

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.

IPC Classes  ?

21.

VRED

      
Application Number 231959200
Status Pending
Filing Date 2024-01-30
Owner Autodesk, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Serial Number 98381269
Status Pending
Filing Date 2024-01-29
Owner Autodesk, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17894978
Status Pending
Filing Date 2022-08-24
First Publication Date 2024-01-25
Owner AUTODESK, INC. (USA)
Inventor
  • Wang, Rui
  • Benjamin, David
  • Jayaraman, Pradeep Kumar
  • Morris, Nigel Jed Wesley

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

24.

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

      
Application Number 17889287
Status Pending
Filing Date 2022-08-16
First Publication Date 2024-01-25
Owner AUTODESK, INC. (USA)
Inventor
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abstract

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.

IPC Classes  ?

  • G06F 30/20 - Design optimisation, verification or simulation
  • G06T 15/00 - 3D [Three Dimensional] image rendering

25.

MAKE ANYTHING

      
Application Number 231178200
Status Pending
Filing Date 2024-01-23
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17849483
Status Pending
Filing Date 2022-06-24
First Publication Date 2023-12-28
Owner Autodesk, Inc. (USA)
Inventor
  • Costa, Franco
  • Han, Sejin

Abstract

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.

IPC Classes  ?

  • G06F 30/28 - Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]

27.

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

      
Application Number 18457603
Status Pending
Filing Date 2023-08-29
First Publication Date 2023-12-21
Owner Autodesk, Inc. (USA)
Inventor
  • Gallo, Emmanuel
  • Fu, Yan
  • Alfaro, Keith
  • Alonso, Manuel Martinez
  • Kohli, Simranjit Singh
  • Amour, Graceline Regala

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06N 20/00 - Machine learning
  • G06F 16/21 - Design, administration or maintenance of databases
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

28.

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

      
Application Number 18181431
Status Pending
Filing Date 2023-03-09
First Publication Date 2023-12-07
Owner AUTODESK, INC. (USA)
Inventor
  • Ivanov, Alexander Arden
  • Anderson, Fraser
  • Grossman, Tovi
  • Ledo Maira, David
  • Fitzmaurice, George

Abstract

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.

IPC Classes  ?

  • G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
  • G06F 3/0486 - Drag-and-drop
  • G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06T 7/90 - Determination of colour characteristics
  • G06T 7/40 - Analysis of texture

29.

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

      
Application Number 17746784
Grant Number 11900542
Status In Force
Filing Date 2022-05-17
First Publication Date 2023-11-23
Grant Date 2024-02-13
Owner AUTODESK, INC. (USA)
Inventor
  • Banadyha, Andriy
  • Davis, Mark Thomas

Abstract

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.

IPC Classes  ?

  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

30.

GENERATING PRISMATIC CAD MODELS BY MACHINE LEARNING

      
Application Number 17747953
Status Pending
Filing Date 2022-05-18
First Publication Date 2023-11-23
Owner Autodesk, Inc. (USA)
Inventor Lambourne, Joseph George

Abstract

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.

IPC Classes  ?

  • G06F 30/10 - Geometric CAD
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

31.

HIGH FREQUENCY DATA MANAGEMENT (HFDM)

      
Application Number 18348232
Status Pending
Filing Date 2023-07-06
First Publication Date 2023-11-16
Owner Autodesk, Inc. (USA)
Inventor
  • Amihod, Dov
  • Dacosta, Thiago
  • Zinke, Arno
  • Medan, Sebastian
  • Towhidi, Farzad
  • Ruiters-Christou, Roland Arthur

Abstract

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.

IPC Classes  ?

  • G06F 16/23 - Updating
  • G06F 16/22 - Indexing; Data structures therefor; Storage structures
  • G06F 16/2457 - Query processing with adaptation to user needs
  • G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
  • G06F 16/2455 - Query execution
  • G06F 16/21 - Design, administration or maintenance of databases

32.

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

      
Application Number 18346754
Status Pending
Filing Date 2023-07-03
First Publication Date 2023-10-26
Owner AUTODESK, INC. (USA)
Inventor
  • Zhang, Ran
  • Fabian, Morgan
  • Ndip-Agbor, Ebot Etchu
  • Taylor, Lee Morris

Abstract

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.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06N 3/08 - Learning methods
  • G06T 3/40 - Scaling of a whole image or part thereof
  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation

33.

USER FEEDBACK MECHANISM FOR SOFTWARE APPLICATIONS

      
Application Number 17969555
Status Pending
Filing Date 2022-10-19
First Publication Date 2023-10-19
Owner AUTODESK, INC. (USA)
Inventor
  • Wannamaker, Kendra Ann
  • Matejka, Justin Frank
  • Vermeulen, Jo Karel
  • Fitzmaurice, George

Abstract

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.

IPC Classes  ?

  • G06F 11/36 - Preventing errors by testing or debugging of software
  • G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation

34.

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

      
Application Number 18141266
Status Pending
Filing Date 2023-04-28
First Publication Date 2023-10-12
Owner Autodesk, Inc. (USA)
Inventor
  • Harris, Andrew John
  • Groom, Allin Irving
  • Bandara, Konara Mudiyanselage Kosala
  • Butscher, Adrian Adam Thomas
  • Szkurlat, Dagmara Lilianna

Abstract

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.

IPC Classes  ?

  • G06F 30/20 - Design optimisation, verification or simulation
  • B29C 64/393 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
  • G06F 30/10 - Geometric CAD
  • G06T 17/10 - Volume description, e.g. cylinders, cubes or using CSG [Constructive Solid Geometry]

35.

NEURAL STYLE TRANSFER IN THREE-DIMENSIONAL SHAPES

      
Application Number 18149601
Status Pending
Filing Date 2023-01-03
First Publication Date 2023-10-12
Owner AUTODESK, INC. (USA)
Inventor
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abstract

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.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06T 17/10 - Volume description, e.g. cylinders, cubes or using CSG [Constructive Solid Geometry]

36.

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

      
Application Number 18141218
Status Pending
Filing Date 2023-04-28
First Publication Date 2023-10-12
Owner Autodesk, Inc. (USA)
Inventor
  • Bandara, Konara Mudiyanselage Kosala
  • Ruto, Anthony Christopher Kipkirui Yegon
  • Morris, Nigel Jed Wesley
  • Jones, Andrew Gareth Lewis

Abstract

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.

IPC Classes  ?

  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing
  • G06F 30/10 - Geometric CAD
  • G05B 19/41 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by interpolation, e.g. the computation of intermediate points between programmed end points to define the path to be followed and the rate of travel along that path
  • B33Y 50/00 - Data acquisition or data processing for additive manufacturing
  • B22F 10/80 - Data acquisition or data processing

37.

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

      
Application Number 18149605
Status Pending
Filing Date 2023-01-03
First Publication Date 2023-10-12
Owner AUTODESK, INC. (USA)
Inventor
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abstract

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.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06N 3/0475 - Generative networks
  • G06N 3/092 - Reinforcement learning

38.

GENERATING STYLES FOR NEURAL STYLE TRANSFER IN THREE-DIMENSIONAL SHAPES

      
Application Number 18149609
Status Pending
Filing Date 2023-01-03
First Publication Date 2023-10-12
Owner AUTODESK, INC. (USA)
Inventor
  • Shayani, Hooman
  • Fumero, Marco
  • Sanghi, Aditya

Abstract

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.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06T 17/00 - 3D modelling for computer graphics
  • G06N 3/08 - Learning methods
  • G06N 3/0455 - Auto-encoder networks; Encoder-decoder networks

39.

AUTODESK WORKSHOP XR

      
Application Number 1753422
Status Registered
Filing Date 2023-09-07
Registration Date 2023-09-07
Owner Autodesk, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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.

40.

PROEST

      
Application Number 1753488
Status Registered
Filing Date 2023-08-18
Registration Date 2023-08-18
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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.

41.

LIBRARY-BASED CONNECTIONS DESIGN AUTOMATION

      
Application Number 17713724
Status Pending
Filing Date 2022-04-05
First Publication Date 2023-10-05
Owner Autodesk, Inc. (USA)
Inventor
  • 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

Abstract

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.

IPC Classes  ?

  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/17 - Mechanical parametric or variational design

42.

MONETARY VULNERABILITY ASSESSMENT (MVA) OF A REPARABLE INFRASTRUCTURE SYSTEM

      
Application Number 17708971
Status Pending
Filing Date 2022-03-30
First Publication Date 2023-10-05
Owner Autodesk, Inc. (USA)
Inventor Ro, Junje

Abstract

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.

IPC Classes  ?

  • H04L 41/0823 - Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
  • H04L 41/0826 - Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for reduction of network costs
  • H04L 41/14 - Network analysis or design
  • H04L 41/142 - Network analysis or design using statistical or mathematical methods

43.

SEMANTIC SCRIPT LANGUAGE PROCESSING

      
Application Number 17710663
Status Pending
Filing Date 2022-03-31
First Publication Date 2023-10-05
Owner Autodesk, Inc. (USA)
Inventor Hotson, Clayton P.

Abstract

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.

IPC Classes  ?

44.

DETERMINING COLLABORATION SCORES FOR GENERATING A SHARED DESIGN

      
Application Number 17718181
Status Pending
Filing Date 2022-04-11
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abstract

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.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

45.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Application Number 17832123
Status Pending
Filing Date 2022-06-03
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abstract

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.

IPC Classes  ?

  • G06F 30/20 - Design optimisation, verification or simulation
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

46.

MULTI-USER COLLABORATION SYSTEM FOR GENERATIVE DESIGNS

      
Application Number 17696340
Status Pending
Filing Date 2022-03-16
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abstract

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.

IPC Classes  ?

47.

GENERATING COLLABORATIVE DESIGNS FROM MULTIPLE CONTRIBUTORS

      
Application Number 17718185
Status Pending
Filing Date 2022-04-11
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Benjamin, David
  • Zhao, Dale
  • Wang, Rui

Abstract

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.

IPC Classes  ?

48.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Application Number 17832116
Status Pending
Filing Date 2022-06-03
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abstract

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.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06T 15/08 - Volume rendering
  • G06F 30/20 - Design optimisation, verification or simulation

49.

VOXEL-BASED APPROACH FOR DESIGN MODELS

      
Application Number 17832127
Status Pending
Filing Date 2022-06-03
First Publication Date 2023-09-21
Owner AUTODESK, INC. (USA)
Inventor
  • Zhao, Dale
  • Benjamin, David
  • Wang, Rui

Abstract

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.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06F 30/10 - Geometric CAD

50.

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

      
Application Number 17965715
Status Pending
Filing Date 2022-10-13
First Publication Date 2023-09-14
Owner AUTODESK, INC. (USA)
Inventor
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abstract

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.

IPC Classes  ?

  • G06F 9/48 - Program initiating; Program switching, e.g. by interrupt
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead

51.

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

      
Application Number 17965717
Status Pending
Filing Date 2022-10-13
First Publication Date 2023-09-14
Owner AUTODESK, INC. (USA)
Inventor
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abstract

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.

IPC Classes  ?

  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

52.

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

      
Application Number 17965718
Status Pending
Filing Date 2022-10-13
First Publication Date 2023-09-14
Owner AUTODESK, INC. (USA)
Inventor
  • Masson, Damien Paul Andre
  • Vermeulen, Jo Karel
  • Fitzmaurice, George
  • Matejka, Justin Frank

Abstract

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.

IPC Classes  ?

  • G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result

53.

DEFECT REMOVAL FROM MANUFACTURED OBJECTS HAVING MORPHED SURFACES

      
Application Number 18141262
Status Pending
Filing Date 2023-04-28
First Publication Date 2023-09-14
Owner Autodesk, Inc. (USA)
Inventor
  • Lovell, David Patrick
  • Sousa, Daniela Sofia Seixas
  • Cheng, Chin-Yi

Abstract

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.

IPC Classes  ?

  • G06N 3/08 - Learning methods
  • G06F 30/20 - Design optimisation, verification or simulation
  • G05B 19/4097 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM

54.

AUTODESK WORKSHOP XR

      
Application Number 228543400
Status Pending
Filing Date 2023-09-07
Owner Autodesk, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 18135055
Status Pending
Filing Date 2023-04-14
First Publication Date 2023-09-07
Owner Autodesk, Inc. (USA)
Inventor
  • Burla, Ravi Kumar
  • Eom, Jaesung
  • Rodriguez, Jesus

Abstract

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.

IPC Classes  ?

  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

56.

TECHNIQUES FOR ADAPTIVE ROBOTIC ASSEMBLY

      
Application Number 18152980
Status Pending
Filing Date 2023-01-11
First Publication Date 2023-09-07
Owner AUTODESK, INC. (USA)
Inventor
  • Koga, Yoshihito Yotto
  • Chitta, Sachin
  • Kerrick, Heather

Abstract

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.

IPC Classes  ?

57.

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

      
Application Number 17687535
Status Pending
Filing Date 2022-03-04
First Publication Date 2023-09-07
Owner AUTODESK, INC. (USA)
Inventor
  • Wang, Yi
  • Nourbakhsh, Mehdi
  • Zhao, Dale

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

58.

DETERMINING DRAINAGE CONSTRAINTS AND GEOMETRIES IN A TRIANGULAR MESH

      
Application Number 17682891
Status Pending
Filing Date 2022-02-28
First Publication Date 2023-08-31
Owner Autodesk, Inc. (USA)
Inventor
  • Koch, Valentin R.
  • Hu, Weiwei

Abstract

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.

IPC Classes  ?

  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
  • G06T 17/05 - Geographic models
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

59.

IMMERSIVE ANALYSIS ENVIRONMENT FOR HUMAN MOTION DATA

      
Application Number 17677826
Status Pending
Filing Date 2022-02-22
First Publication Date 2023-08-24
Owner AUTODESK, INC. (USA)
Inventor
  • Brudy, Frederik
  • Anderson, Fraser
  • Dachselt, Raimund
  • Fitzmaurice, George
  • Matejka, Justin Frank
  • Reipschläger, Patrick

Abstract

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.

IPC Classes  ?

  • G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
  • G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
  • G06T 19/00 - Manipulating 3D models or images for computer graphics
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 40/20 - Movements or behaviour, e.g. gesture recognition

60.

PROEST

      
Application Number 228527800
Status Pending
Filing Date 2023-08-18
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17673403
Grant Number 11908058
Status In Force
Filing Date 2022-02-16
First Publication Date 2023-08-17
Grant Date 2024-02-20
Owner Autodesk, Inc. (USA)
Inventor
  • Anderson, Fraser
  • Fitzmaurice, George William
  • Wang, Cheng Yao
  • Zhou, Qian

Abstract

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.

IPC Classes  ?

  • G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
  • G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
  • G06F 16/74 - Browsing; Visualisation therefor
  • G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments

62.

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

      
Application Number 18128770
Grant Number 11900029
Status In Force
Filing Date 2023-03-30
First Publication Date 2023-07-27
Grant Date 2024-02-13
Owner Autodesk, Inc. (USA)
Inventor
  • Bandara, Konara Mudiyanselage Kosala
  • Shayani, Hooman

Abstract

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.

IPC Classes  ?

  • G06F 30/20 - Design optimisation, verification or simulation
  • G06T 17/00 - 3D modelling for computer graphics
  • G06F 111/10 - Numerical modelling
  • G06F 119/18 - Manufacturability analysis or optimisation for manufacturability

63.

GEOMETRY-BASED DESIGN DATA SEARCH TOOL

      
Application Number 17564555
Status Pending
Filing Date 2021-12-29
First Publication Date 2023-06-29
Owner Autodesk, Inc. (USA)
Inventor Zou, Ping

Abstract

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.

IPC Classes  ?

  • G06F 16/901 - Indexing; Data structures therefor; Storage structures
  • G06F 16/25 - Integrating or interfacing systems involving database management systems
  • G06F 16/53 - Querying

64.

Predictive modeling and control for water resource infrastructure

      
Application Number 18171971
Grant Number 11815863
Status In Force
Filing Date 2023-02-21
First Publication Date 2023-06-29
Grant Date 2023-11-14
Owner AUTODESK, INC. (USA)
Inventor
  • Gaffoor, Thouheed Abdul
  • Suthar, Megh
  • Mohamed, Yousra Hazem Khalil Helmy

Abstract

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.

IPC Classes  ?

  • G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
  • G06N 20/00 - Machine learning
  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06N 5/04 - Inference or reasoning models
  • E03B 7/02 - Public or like main pipe systems
  • E03B 7/07 - Arrangement of devices, e.g. filters, flow controls, measuring devices, siphons, valves, in the pipe systems

65.

TECHNIQUES FOR ROBOTIC WORKCELL DESIGN

      
Application Number 17548355
Status Pending
Filing Date 2021-12-10
First Publication Date 2023-06-15
Owner AUTODESK, INC. (USA)
Inventor
  • Atherton, Evan Patrick
  • Bidgoli, Ardavan

Abstract

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.

IPC Classes  ?

66.

Multi-tooltip control for computer-aided manufacturing

      
Application Number 17546586
Grant Number 11809160
Status In Force
Filing Date 2021-12-09
First Publication Date 2023-06-15
Grant Date 2023-11-07
Owner Autodesk, Inc. (USA)
Inventor Kalay, Fikret

Abstract

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.

IPC Classes  ?

  • G05B 19/4097 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
  • G05B 19/19 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous path

67.

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

      
Application Number 17707886
Status Pending
Filing Date 2022-03-29
First Publication Date 2023-06-08
Owner Autodesk, Inc. (USA)
Inventor
  • Weiss, Benjamin Mckittrick
  • Morris, Nigel Jed Wesley
  • Butscher, Adrian Adam Thomas
  • Rodriguez, Jesus

Abstract

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).

IPC Classes  ?

  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06T 15/06 - Ray-tracing

68.

GOAL-DRIVEN COMPUTER AIDED DESIGN WORKFLOW

      
Application Number 18158406
Status Pending
Filing Date 2023-01-23
First Publication Date 2023-05-25
Owner AUTODESK, INC. (USA)
Inventor Iorio, Francesco

Abstract

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.

IPC Classes  ?

69.

DOCUMENT TRACKING THROUGH VERSION HASH LINKED GRAPHS

      
Application Number 18058149
Status Pending
Filing Date 2022-11-22
First Publication Date 2023-05-18
Owner Autodesk, Inc. (USA)
Inventor
  • Maguire, Robert Evon
  • Krishnaswamy, Ravinder P.

Abstract

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.

IPC Classes  ?

  • G06F 40/197 - Version control
  • G06F 16/901 - Indexing; Data structures therefor; Storage structures
  • G06F 16/93 - Document management systems
  • G06F 16/13 - File access structures, e.g. distributed indices
  • G06F 16/14 - File systems; File servers - Details of searching files based on file metadata

70.

COMPUTER AIDED DESIGN WITH GEOMETRY FILTERING TO FACILITATE MANUFACTURING

      
Application Number 17978836
Status Pending
Filing Date 2022-11-01
First Publication Date 2023-05-18
Owner Autodesk, Inc. (USA)
Inventor
  • Weiss, Benjamin Mckittrick
  • Rodriguez, Jesus
  • Ndip-Agbor, Ebot Etchu
  • Morris, Nigel Jed Wesley
  • Butscher, Adrian Adam Thomas

Abstract

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.

IPC Classes  ?

  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing
  • B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

71.

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

      
Application Number 18077948
Status Pending
Filing Date 2022-12-08
First Publication Date 2023-05-11
Owner Autodesk, Inc. (USA)
Inventor
  • Harris, Andrew John
  • Bandara, Konara Mudiyanselage Kosala
  • Szkurlat, Dagmara Lilianna
  • Butscher, Adrian Adam Thomas
  • Ruto, Anthony Christopher Kipkirui Yegon

Abstract

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.

IPC Classes  ?

  • G06F 30/23 - Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
  • G06F 30/10 - Geometric CAD
  • B29C 64/393 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
  • B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

72.

THREE-DIMENSIONAL PRINTING

      
Application Number 18086516
Status Pending
Filing Date 2022-12-21
First Publication Date 2023-05-11
Owner Autodesk, Inc. (USA)
Inventor
  • Bastian, Andreas Linas
  • Meess, Gregory David

Abstract

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.

IPC Classes  ?

  • B29C 64/393 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
  • B33Y 10/00 - Processes of additive manufacturing
  • B33Y 50/02 - Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
  • B29C 64/106 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material
  • B29C 64/40 - Structures for supporting 3D objects during manufacture and intended to be sacrificed after completion thereof

73.

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

      
Application Number 18150156
Status Pending
Filing Date 2023-01-04
First Publication Date 2023-05-11
Owner AUTODESK, INC. (USA)
Inventor
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abstract

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.

IPC Classes  ?

  • G06F 3/0346 - Pointing devices displaced or positioned by the user; Accessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
  • G02B 30/50 - Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images the image being built up from image elements distributed over a 3D volume, e.g. voxels
  • G06F 3/038 - Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
  • G06T 19/00 - Manipulating 3D models or images for computer graphics

74.

PLATFORM FOR AUTHORING, STORING, AND SEARCHING WORKFLOWS

      
Application Number 18146940
Status Pending
Filing Date 2022-12-27
First Publication Date 2023-05-04
Owner AUTODESK, INC. (USA)
Inventor
  • Look, Douglas
  • Rubio, Gonzalo
  • Ganguly, Arindam
  • Wallace, John
  • Arnold, Adam

Abstract

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.

IPC Classes  ?

  • G06F 16/242 - Query formulation
  • G06F 16/248 - Presentation of query results
  • G06F 16/954 - Navigation, e.g. using categorised browsing
  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 10/10 - Office automation; Time management
  • H04L 67/01 - Protocols

75.

Seamless three-dimensional design collaboration

      
Application Number 18058121
Grant Number 11960794
Status In Force
Filing Date 2022-11-22
First Publication Date 2023-04-27
Grant Date 2024-04-16
Owner Autodesk, Inc. (USA)
Inventor
  • Reddy, Shatakirti
  • Nirupam, Nirupam
  • Kumar, Pradeep
  • Chauhan, Sandip Mansukhlal

Abstract

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.

IPC Classes  ?

  • G06F 30/00 - Computer-aided design [CAD]
  • G06F 40/205 - Parsing
  • G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
  • G06F 40/30 - Semantic analysis
  • G06F 111/02 - CAD in a network environment, e.g. collaborative CAD or distributed simulation
  • G06F 111/20 - Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules

76.

ACAD

      
Application Number 1725466
Status Registered
Filing Date 2022-11-11
Registration Date 2022-11-11
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17501337
Status Pending
Filing Date 2021-10-14
First Publication Date 2023-04-20
Owner AUTODESK, INC. (USA)
Inventor
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abstract

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.

IPC Classes  ?

  • G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
  • G06T 19/00 - Manipulating 3D models or images for computer graphics

78.

AUTOCAD

      
Application Number 225739000
Status Pending
Filing Date 2023-04-11
Owner Autodesk, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17959221
Status Pending
Filing Date 2022-10-03
First Publication Date 2023-04-06
Owner Autodesk, Inc. (USA)
Inventor
  • Yuan, Zhongshuang
  • Bakharev, Alexander
  • Costa, Franco
  • Wang, Jin

Abstract

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.

IPC Classes  ?

  • B29C 45/76 - Measuring, controlling or regulating
  • B29C 45/00 - Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor

80.

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

      
Application Number 17960036
Status Pending
Filing Date 2022-10-04
First Publication Date 2023-04-06
Owner Autodesk, Inc. (USA)
Inventor
  • Cohee, Robert Michael
  • Spencer, Joshua David
  • Gardiner, Garin Michael
  • Groh, Miroslav
  • Zatecka, Martin
  • Shao, Na
  • Prchlik, Vaclav

Abstract

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.

IPC Classes  ?

  • G06F 30/20 - Design optimisation, verification or simulation
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

81.

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

      
Application Number 17960031
Status Pending
Filing Date 2022-10-04
First Publication Date 2023-04-06
Owner Autodesk, Inc. (USA)
Inventor
  • Banadyha, Andriy
  • Gardiner, Garin Michael
  • Spencer, Joshua David
  • Groh, Miroslav
  • Zatecka, Martin
  • Cohee, Robert Michael
  • Prchlik, Vaclav

Abstract

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.

IPC Classes  ?

  • G05B 19/4097 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM

82.

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

      
Application Number 17459710
Status Pending
Filing Date 2021-08-27
First Publication Date 2023-03-23
Owner Autodesk, Inc. (USA)
Inventor
  • Harris, Andrew John
  • Butscher, Adrian Adam Thomas
  • Groom, Allin Irving
  • Bandara, Konara Mudiyanselage Kosala

Abstract

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.

IPC Classes  ?

  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing
  • G06F 30/17 - Mechanical parametric or variational design
  • G05B 19/4093 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part programme, for the NC machine

83.

Techniques for visualizing probabilistic data generated when designing mechanical assemblies

      
Application Number 18058210
Grant Number 11726643
Status In Force
Filing Date 2022-11-22
First Publication Date 2023-03-16
Grant Date 2023-08-15
Owner AUTODESK, INC. (USA)
Inventor
  • Cheong, Hyunmin
  • Ebrahimi, Mehran
  • Butscher, Adrian

Abstract

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.

IPC Classes  ?

  • G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
  • G06F 30/00 - Computer-aided design [CAD]

84.

PROEST

      
Serial Number 97840967
Status Registered
Filing Date 2023-03-15
Registration Date 2023-12-05
Owner Autodesk, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Serial Number 97840960
Status Registered
Filing Date 2023-03-15
Registration Date 2023-12-05
Owner Autodesk, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Serial Number 97830580
Status Pending
Filing Date 2023-03-09
Owner Autodesk, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 18045809
Grant Number 11842262
Status In Force
Filing Date 2022-10-11
First Publication Date 2023-03-02
Grant Date 2023-12-12
Owner AUTODESK, INC. (USA)
Inventor
  • Nagy, Danil
  • Noviello, Daniel
  • Stoddart, James
  • Benjamin, David
  • Lau, Damon

Abstract

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.

IPC Classes  ?

88.

CLOUD-ENABLED GENERATION OF CONSTRUCTION METRICS AND DOCUMENTATION

      
Application Number 18046819
Status Pending
Filing Date 2022-10-14
First Publication Date 2023-03-02
Owner Autodesk, Inc. (USA)
Inventor
  • Tierney, Patrick Liam Colm
  • Oak, Abhijit

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
  • G06Q 50/08 - Construction

89.

GENERATIVE DESIGN TECHNIQUES FOR AUTOMOBILE DESIGNS

      
Application Number 18047607
Status Pending
Filing Date 2022-10-18
First Publication Date 2023-03-02
Owner AUTODESK, INC. (USA)
Inventor
  • Stoddart, James
  • Benjamin, David
  • Nagy, Danil
  • Lau, Damon

Abstract

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.

IPC Classes  ?

  • G06F 30/15 - Vehicle, aircraft or watercraft design
  • B62D 65/00 - Designing, manufacturing, e.g. assembling, facilitating disassembly, or structurally modifying motor vehicles or trailers, not otherwise provided for

90.

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

      
Application Number 17945008
Status Pending
Filing Date 2022-09-14
First Publication Date 2023-02-23
Owner Autodesk, Inc. (USA)
Inventor
  • 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

Abstract

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.

IPC Classes  ?

  • G06F 30/00 - Computer-aided design [CAD]
  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation

91.

COMPUTER-BASED TECHNIQUES FOR VISUALLY NARRATING RECORDED MEETING CONTENT

      
Application Number 17671286
Status Pending
Filing Date 2022-02-14
First Publication Date 2023-01-26
Owner AUTODESK, INC. (USA)
Inventor
  • Aseniero, Bon Adriel
  • Fitzmaurice, George
  • Matejka, Justin Frank
  • Sultanum, Nicole Barbosa

Abstract

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.

IPC Classes  ?

  • G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
  • G06T 11/20 - Drawing from basic elements, e.g. lines or circles
  • G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
  • G10L 17/14 - Use of phonemic categorisation or speech recognition prior to speaker recognition or verification
  • G06F 3/16 - Sound input; Sound output
  • G10L 25/57 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for processing of video signals
  • G06F 40/166 - Editing, e.g. inserting or deleting

92.

GENERATIVE SHELL DESIGN FOR SIMULATIONS

      
Application Number 17933701
Status Pending
Filing Date 2022-09-20
First Publication Date 2023-01-19
Owner Autodesk, Inc. (USA)
Inventor
  • Grau, Michael
  • Harris, Andrew John

Abstract

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.

IPC Classes  ?

  • G06F 30/15 - Vehicle, aircraft or watercraft design
  • G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD

93.

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

      
Application Number 17501351
Grant Number 11550406
Status In Force
Filing Date 2021-10-14
First Publication Date 2023-01-10
Grant Date 2023-01-10
Owner AUTODESK, INC. (USA)
Inventor
  • Zhou, Qian
  • Anderson, Fraser
  • Fitzmaurice, George

Abstract

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.

IPC Classes  ?

  • G06F 3/0346 - Pointing devices displaced or positioned by the user; Accessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
  • G02B 30/50 - Optical systems or apparatus for producing three-dimensional [3D] effects, e.g. stereoscopic images the image being built up from image elements distributed over a 3D volume, e.g. voxels
  • G06F 3/038 - Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
  • G06T 19/00 - Manipulating 3D models or images for computer graphics

94.

3DS MAX

      
Application Number 1705195
Status Registered
Filing Date 2022-10-28
Registration Date 2022-10-28
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17742309
Status Pending
Filing Date 2022-05-11
First Publication Date 2022-12-22
Owner Autodesk, Inc. (USA)
Inventor
  • Tourangeau, Vincent Stanley
  • Dayanand, Sriram
  • Michalatos, Panagiotis
  • Fowler, Gregory William
  • Santhanam, Ramesh

Abstract

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.

IPC Classes  ?

  • B22F 10/80 - Data acquisition or data processing
  • G06T 17/00 - 3D modelling for computer graphics
  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing
  • B33Y 50/00 - Data acquisition or data processing for additive manufacturing

96.

INNOVYZE

      
Application Number 1701317
Status Registered
Filing Date 2022-10-27
Registration Date 2022-10-27
Owner Autodesk, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & 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

      
Application Number 17820867
Grant Number 11748527
Status In Force
Filing Date 2022-08-18
First Publication Date 2022-12-08
Grant Date 2023-09-05
Owner AUTODESK, INC. (USA)
Inventor
  • Stoddart, James
  • Nagy, Danil
  • Benjamin, David
  • Villagi, Lorenzo

Abstract

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.

IPC Classes  ?

  • G06F 30/13 - Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

98.

HYBRID ADDITIVE AND SUBTRACTIVE MANUFACTURING

      
Application Number 17760746
Status Pending
Filing Date 2020-09-18
First Publication Date 2022-12-01
Owner Autodesk, Inc. (USA)
Inventor
  • Sanders, Lee
  • Bowerman, Robert
  • Hamilton, Kelvin Samuel Allan

Abstract

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.

IPC Classes  ?

  • B22F 10/80 - Data acquisition or data processing
  • B33Y 50/00 - Data acquisition or data processing for additive manufacturing
  • G05B 19/4099 - Surface or curve machining, making 3D objects, e.g. desktop manufacturing

99.

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

      
Application Number 17875286
Status Pending
Filing Date 2022-07-27
First Publication Date 2022-11-24
Owner Autodesk, Inc. (USA)
Inventor
  • Eom, Jaesung
  • Burla, Ravi Kumar
  • Rodriguez, Jesus
  • Weiss, Benjamin Mckittrick
  • Li, Nan

Abstract

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.

IPC Classes  ?

  • G05B 19/414 - Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller
  • G06F 30/20 - Design optimisation, verification or simulation
  • G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)

100.

APPLICATION ONBOARDING TUTORIAL SYSTEM

      
Application Number 17743710
Status Pending
Filing Date 2022-05-13
First Publication Date 2022-11-17
Owner Autodesk, Inc. (USA)
Inventor
  • Chan, Matthew
  • Adams, Trevor
  • Dehghani, Kourosh
  • Ouellet, Simon

Abstract

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.

IPC Classes  ?

  • G09B 19/00 - Teaching not covered by other main groups of this subclass
  • G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
  • G06T 17/20 - Wire-frame description, e.g. polygonalisation or tessellation
  • G06T 11/60 - Editing figures and text; Combining figures or text
  • G06F 3/04842 - Selection of displayed objects or displayed text elements
  • G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
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