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公开(公告)号:US11681971B2
公开(公告)日:2023-06-20
申请号:US17098282
申请日:2020-11-13
Applicant: AUTODESK, INC.
Inventor: David Benjamin , Damon Lau , James Stoddart , Lorenzo Villaggi , Rui Wang , Lindsey Wikstrom
IPC: G06Q10/06 , G06Q10/04 , G06F30/13 , G06Q10/10 , G06F16/901 , G06Q50/16 , G06F30/20 , G06F30/28 , G06F30/18 , G06Q50/08 , G06T17/20 , G06F111/04 , G06F111/02 , G06F111/10 , G06F119/02 , G06Q10/0639 , G06Q10/0633 , G06Q10/047 , G06Q10/101 , G06Q10/0637 , G06Q10/067
CPC classification number: G06Q10/06393 , G06F16/9024 , G06F30/13 , G06F30/18 , G06F30/20 , G06F30/28 , G06Q10/047 , G06Q10/067 , G06Q10/0633 , G06Q10/06375 , G06Q10/06395 , G06Q10/101 , G06Q50/08 , G06Q50/163 , G06Q50/165 , G06F2111/02 , G06F2111/04 , G06F2111/10 , G06F2119/02 , G06T17/20
Abstract: A computer-implemented method for computationally determining ventilation efficiency when generating a building design comprises: generating a first three-dimensional (3D) mesh based on a first 3D building model; performing a first fluid dynamic computer simulation based on the first 3D mesh and first environmental data associated with the first 3D building model to generate a first output data set; and computing, based on the first output data set, a first value for a ventilation performance metric that is associated with the first 3D building model.
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42.
公开(公告)号:US20230177224A1
公开(公告)日:2023-06-08
申请号:US17707886
申请日:2022-03-29
Applicant: Autodesk, Inc.
Inventor: Benjamin McKittrick Weiss , Nigel Jed Wesley Morris , Adrian Adam Thomas Butscher , Jesus Rodriguez
CPC classification number: G06F30/12 , G06T19/20 , G06T15/06 , G06F2119/18
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).
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公开(公告)号:US11654565B2
公开(公告)日:2023-05-23
申请号:US16940288
申请日:2020-07-27
Applicant: AUTODESK, INC.
Inventor: Hui Li , Evan Patrick Atherton , Erin Bradner , Nicholas Cote , Heather Kerrick
CPC classification number: B25J9/1671 , B25J9/161 , B25J9/163 , B25J9/1605 , G05B19/41885 , G06F30/20 , G06N3/0445 , G06N3/08 , G06N20/00 , G06T17/00 , G05B2219/32017 , G05B2219/35353
Abstract: One embodiment of the present invention sets forth a technique for controlling the execution of a physical process. The technique includes receiving, as input to a machine learning model that is configured to adapt a simulation of the physical process executing in a virtual environment to a physical world, simulated output for controlling how the physical process performs a task in the virtual environment and real-world data collected from the physical process performing the task in the physical world. The technique also includes performing, by the machine learning model, one or more operations on the simulated output and the real-world data to generate augmented output. The technique further includes transmitting the augmented output to the physical process to control how the physical process performs the task in the physical world.
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44.
公开(公告)号:US20230145217A1
公开(公告)日:2023-05-11
申请号:US18077948
申请日:2022-12-08
Applicant: Autodesk, Inc.
Inventor: Andrew John Harris , Konara Mudiyanselage Kosala Bandara , Dagmara Lilianna Szkurlat , Adrian Adam Thomas Butscher , Anthony Christopher Kipkirui Yegon Ruto
IPC: G06F30/23 , G06F30/10 , B29C64/393 , B33Y50/02
CPC classification number: G06F30/23 , G06F30/10 , B29C64/393 , B33Y50/02 , G06F2111/04
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.
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公开(公告)号:US20230141215A1
公开(公告)日:2023-05-11
申请号:US18086516
申请日:2022-12-21
Applicant: Autodesk, Inc.
Inventor: Andreas Linas Bastian , Gregory David Meess
IPC: B29C64/393 , B33Y10/00 , B33Y50/02 , B29C64/106 , B29C64/40
CPC classification number: B29C64/393 , B29C64/40 , B29C64/106 , B33Y10/00 , B33Y50/02 , B33Y30/00
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.
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公开(公告)号:US11607806B2
公开(公告)日:2023-03-21
申请号:US16892216
申请日:2020-06-03
Applicant: AUTODESK, INC.
Inventor: Michael Haley , Erin Bradner , Pantelis Katsiaris
IPC: B25J9/16
Abstract: A model generator implements a data-driven approach to generating a robot model that describes one or more physical properties of a robot. The model generator generates a set of basis functions that generically describes a range of physical properties of a wide range of systems. The model generator then generates a set of coefficients corresponding to the set of basis functions based on one or more commands issued to the robot, one or more corresponding end effector positions implemented by the robot, and a sparsity constraint. The model generator generates the robot model by combining the set of basis functions with the set of coefficients. In doing so, the model generator disables specific basis functions that do not describe physical properties associated with the robot. The robot model can subsequently be used within a robot controller to generate commands for controlling the robot.
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公开(公告)号:US20230065286A1
公开(公告)日:2023-03-02
申请号:US18046819
申请日:2022-10-14
Applicant: Autodesk, Inc.
Inventor: Patrick Liam Colm Tierney , Abhijit Oak
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.
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公开(公告)号:US20230060989A1
公开(公告)日:2023-03-02
申请号:US18047607
申请日:2022-10-18
Applicant: AUTODESK, INC.
Inventor: James STODDART , David BENJAMIN , Danil NAGY , Damon LAU
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.
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公开(公告)号:US11568098B2
公开(公告)日:2023-01-31
申请号:US16414391
申请日:2019-05-16
Applicant: Autodesk, Inc.
Inventor: Zhihao Zuo , Shoudong Xu , Huagang Yu , Arpan Biswas , Nandakumar Santhanam
Abstract: A method, apparatus, and system provide the ability to design a convective cooling channel in a computer. Input data is acquired and includes a geometry of an object to be cooled, a design objective, and boundary conditions. Channel designs corresponding to the input data are generated using an iterative topology optimization. One of the channel designs is selected and output.
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公开(公告)号:US20230023037A1
公开(公告)日:2023-01-26
申请号:US17671286
申请日:2022-02-14
Applicant: AUTODESK, INC.
IPC: G06F3/04847 , G06T11/20 , G06F3/04817 , G10L17/14 , G06F3/16 , G10L25/57 , G06F40/166
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.
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