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公开(公告)号：US20240411952A1
公开(公告)日：2024-12-12
申请号：US18414348
申请日：2024-01-16
Applicant: AUTODESK, INC.
Inventor： Mehran EBRAHIMI , Hyunmin CHEONG , Pradeep Kumar JAYARAMAN
Abstract: Techniques for generative design include a computer-implemented method for solving a design problem comprising initializing values for one or more categorical and continuous design variables, and performing a design iteration by generating sample vectors for each of one or more categorical design variables based on the categorical design variable probabilities, solving one or more governing equations for the design problem based on values of the continuous design variables and the sample vectors, computing a value of one or more constraint functions and an objective function, computing first gradients of the objective function and the constraint functions with respect to each of the continuous design variables, computing second gradients of the objective function and the constraint functions with respect to the categorical design variable probabilities, and updating values for the continuous design variables based on the first gradients and values for the categorical design variable probabilities based on the second gradients.
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2.发明申请公开(公告)号：US20190197198A1
公开(公告)日：2019-06-27
申请号：US15854234
申请日：2017-12-26
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI , Francesco IORIO , Adrian BUTSCHER
IPC: G06F17/50
CPC classification number: G06F17/504 , G06F17/5086 , G06F17/5095 , G06F2217/02 , G06F2217/04 , G06F2217/06 , G06F2217/12
Abstract: A design engine automates portions of a mechanical assembly design process. The design engine generates a user interface that exposes tools for capturing input data related to the design problem. Based on the input data, the design engine performs various operations to generate a formalized problem definition that can be processed by a goal-driven optimization algorithm. The goal-driven optimization algorithm generates a spectrum of potential design options. Each design option describes a mechanical assembly representing a potential solution to the design problem.
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3.发明申请公开(公告)号：US20150324494A1
公开(公告)日：2015-11-12
申请号：US14707915
申请日：2015-05-08
Applicant: AUTODESK, Inc
Inventor： Francesco IORIO , Wei LI , Hyunmin CHEONG
IPC: G06F17/50
Abstract: A computing device for receiving a design problem statement describing a design problem in a controlled natural language (CNL) that defines permitted lexicons and syntax structures. The design problem statement is processed using the CNL lexicons and syntax structures to produce a job description executable by a design application for generating a design solution for the design problem statement. An improved CNL user interface that assists users to produce valid design problem statements that are CNL-compliant. The CNL user interface receives user-selectable terms that are compliant with the CNL lexicons and generates candidate problem statements that are compliant with CNL syntax structures and receives a selection of a candidate problem statement that is added to the design problem statement. A graphical user interface may display a graphical representation of a design problem statement that can be directly modified. A dialogue-based design process to explore possible design intentions and design solutions.
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公开(公告)号：US20250148171A1
公开(公告)日：2025-05-08
申请号：US18821966
申请日：2024-08-30
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI , Adrian BUTSCHER , Hesam SALEHIPOUR
Abstract: In various embodiments, a generative design application can leverage multi-disciplinary optimization to solve a design problem associated with a 3D model and interdependent design variables. The generative design application includes an optimization engine that can solve the design problem, or portions thereof, by iteratively performing optimization techniques on the interdependent design variables to generate an 3D model that maximizes or minimizes one or more objectives and meets one or more constraints, while simultaneously considering the effect of each interdependency of the design variables. Furthermore, the generative design application can leverage a natural language interface to augment the creation of the design problem for optimization. The generative design application can also leverage free-form deformation during generative design to parameterize a portion of the 3D model as part of the design problem.
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5.发明申请公开(公告)号：US20230082505A1
公开(公告)日：2023-03-16
申请号：US18058210
申请日：2022-11-22
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI , Adrian BUTSCHER
IPC: G06F3/0484 , G06F30/00
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.
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Patent Agency Ranking
公开(公告)号：US20200334337A1
公开(公告)日：2020-10-22
申请号：US16434085
申请日：2019-06-06
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI , Adrian BUTSCHER
Abstract: A design engine implements a probabilistic approach to generating designs for computer-aided design (CAD) assemblies. The design engine initially generates a population of designs based on a problem definition associated with a design problem. Each design includes a randomly-generated set of design values assigned to various design variables. The design engine repairs any infeasible designs in the population of designs and then executes a dynamic simulation with the population of designs. The design engine selects the most performant designs and identifies, based on those performant designs, design variables that are dependent on one another. The design engine generates a probability model indicating conditional probabilities between design values associated with dependent design variables. The design engine then iteratively samples the probability model to generate a subsequent population of designs. In this manner, the design engine can automatically generate designs for mechanical assemblies significantly faster than possible with conventional algorithmic design techniques.
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公开(公告)号：US20190213300A1
公开(公告)日：2019-07-11
申请号：US15866398
申请日：2018-01-09
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI , Francesco IORIO , Adrian BUTSCHER
IPC: G06F17/50
CPC classification number: G06F17/5086 , G06F17/5095 , G06F2217/06
Abstract: A design engine systematically explores a design space associated with a design problem related to mechanical assemblies. The design engine implements a constraint programming approach to produce mechanical assembly configurations that adhere to a set of design constraints. For each feasible configuration, the design engine then optimizes various parameters to generate design options that meet a set of design objectives. With these techniques, the design space can be explored very quickly to generate significantly more feasible design options for the mechanical assembly than possible with conventional manual approaches. Accordingly, numerous design options can be generated that may otherwise never be produced using those conventional approaches.
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公开(公告)号：US20220108046A1
公开(公告)日：2022-04-07
申请号：US17344710
申请日：2021-06-10
Applicant: AUTODESK, INC.
Inventor： Hyunmin CHEONG , Mehran EBRAHIMI
IPC: G06F30/17 , G05B19/4097
Abstract: A computer-implemented method for generating a design for a continuum robot includes: generating a first plurality of candidate designs for the continuum robot, wherein each candidate design included in the first plurality of candidate designs is based on a first set of values for a set of design parameters; determining a first performance value for each candidate design included in the first plurality of candidate designs; based at least in part on the first performance values, selecting a subset of candidate designs from the first plurality of candidate designs; and based on the subset of candidate designs, generating a second plurality of candidate designs for the continuum robot, wherein each candidate design included in the second plurality of candidate designs is based on a second set of values for the set of design parameters.
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公开(公告)号：US20220105627A1
公开(公告)日：2022-04-07
申请号：US17319502
申请日：2021-05-13
Applicant: AUTODESK, INC.
Inventor： Mehran EBRAHIMI , Hyunmin CHEONG , Adrian BUTSCHER
IPC: B25J9/16
Abstract: A computer-implemented method for controlling a robot, the method comprising: determining a first value for a first joint parameter associated with a first continuum joint included in the robot and a first value for a second joint parameter associated with the first continuum joint, wherein the first joint parameter indicates a bending radius of a flexible portion of the continuum joint, and the second joint parameter indicates a rotation of the flexible portion of the continuum joint with respect to a base portion of the first continuum joint; and positioning an end portion of the robot at a final target location based on the first value of the first joint parameter and the first value of the second joint parameter.
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公开(公告)号：US20220083702A1
公开(公告)日：2022-03-17
申请号：US16950669
申请日：2020-11-17
Applicant: AUTODESK, INC.
Inventor： Mehran EBRAHIMI , Adrian BUTSCHER , Hyunmin CHEONG
Abstract: Techniques are disclosed for designing structures using a torsion-deformable spatial beam element. The beam element can be represented using the absolute nodal coordinate formulation, or any other technically feasible formulation. At each of one or more time steps, the Bishop frame is used to generate local coordinate systems along a center line of the beam element, which are used to compute a potential energy of the beam element. Thereafter, a derivative of the potential energy is plugged into equations of motion that are solved to determine an updated state of the beam element. A representation of the updated beam element can also be rendered and displayed via a graphical user interface.
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