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公开(公告)号:US20250010475A1
公开(公告)日:2025-01-09
申请号:US18888045
申请日:2024-09-17
Applicant: NVIDIA Corporation
Inventor: Carolyn Linjon Chen , Yashraj Shyam Narang , Fabio Tozeto Ramos , Dieter Fox
IPC: B25J9/16 , B25J11/00 , G01N15/00 , G06F17/18 , G06F18/214 , G06F30/27 , G06N3/08 , G06N7/01 , G06T7/00 , G06T7/77 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/64
Abstract: Apparatuses, systems, and techniques to identify at least one physical characteristic of materials from computer simulations of manipulations of materials. In at least one embodiment, physical characteristics are determined by comparing measured statistics of observed manipulations to simulations of manipulations using a simulator trained with a likelihood-free inference engine.
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公开(公告)号:US12109701B2
公开(公告)日:2024-10-08
申请号:US16780465
申请日:2020-02-03
Applicant: NVIDIA Corporation
Inventor: Jonathan Tremblay , Dieter Fox , Michelle Lee , Carlos Florensa , Nathan Donald Ratliff , Animesh Garg , Fabio Tozeto Ramos
CPC classification number: B25J9/163 , B25J9/1661 , B25J9/1664 , B25J9/1697 , G05B13/027 , G05B13/04 , G06N3/08 , G06N5/046 , G06N20/00
Abstract: A robot is controlled using a combination of model-based and model-free control methods. In some examples, the model-based method uses a physical model of the environment around the robot to guide the robot. The physical model is oriented using a perception system such as a camera. Characteristics of the perception system may be are used to determine an uncertainty for the model. Based at least in part on this uncertainty, the system transitions from the model-based method to a model-free method where, in some embodiments, information provided directly from the perception system is used to direct the robot without reliance on the physical model.
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公开(公告)号:US20220379484A1
公开(公告)日:2022-12-01
申请号:US17331466
申请日:2021-05-26
Applicant: NVIDIA Corporation
Inventor: Jonathan Tremblay , Fabio Tozeto Ramos , Yuke Zhu , Anima Anandkumar , Guanya Shi
Abstract: Apparatuses, systems, and techniques generate poses of an object based on data of the object observed from a first viewpoint and a second viewpoint. The poses can be evaluated to determine a portion of the data usable by an estimator to generate a pose of the object.
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公开(公告)号:US20210110089A1
公开(公告)日:2021-04-15
申请号:US16916017
申请日:2020-06-29
Applicant: NVIDIA Corporation
Inventor: Carolyn Linjon Chen , Yashraj Shyam Narang , Fabio Tozeto Ramos , Dieter Fox
Abstract: Apparatuses, systems, and techniques to identify at least one physical characteristic of materials from computer simulations of manipulations of materials. In at least one embodiment, physical characteristics are determined by comparing measured statistics of observed manipulations to simulations of manipulations using a simulator trained with a likelihood-free inference engine.
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公开(公告)号:US20200368906A1
公开(公告)日:2020-11-26
申请号:US16417540
申请日:2019-05-20
Applicant: NVIDIA Corporation
Inventor: Fabio Tozeto Ramos , Dieter Fox
Abstract: In an embodiment, a system calculates a distribution of possible parameters for a simulation that cause the simulation to match a measured behavior in the real world. In an embodiment, the system selects a plurality of simulation parameters based on a statistical distribution that represents an initial estimate of possible parameter values. In an embodiment, using the results produced by the simulation, an updated distribution of possible parameters is constructed based on a density of the results modeled using Fourier features. In an embodiment, the updated distribution of possible parameters can be used to select a particular set of parameters for the simulation, which cause the simulator approximate the measured behavior.
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公开(公告)号:US20240131706A1
公开(公告)日:2024-04-25
申请号:US18200347
申请日:2023-05-22
Applicant: NVIDIA Corporation
Inventor: Balakumar Sundaralingam , Siva Kumar Sastry Hari , Adam Harper Fishman , Caelan Reed Garrett , Alexander James Millane , Elena Oleynikova , Ankur Handa , Fabio Tozeto Ramos , Nathan Donald Ratliff , Karl Van Wyk , Dieter Fox
IPC: B25J9/16
CPC classification number: B25J9/1664
Abstract: Apparatuses, systems, and techniques to perform collision-free motion generation (e.g., to operate a real-world or virtual robot). In at least one embodiment, at least a portion of the collision-free motion generation is performed in parallel.
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公开(公告)号:US11958529B2
公开(公告)日:2024-04-16
申请号:US16998941
申请日:2020-08-20
Applicant: NVIDIA Corporation
Inventor: Ajay Uday Mandlekar , Fabio Tozeto Ramos , Byron Boots , Animesh Garg , Dieter Fox
CPC classification number: B62D15/0285 , B25J1/02 , B60W30/06 , B60W60/0025 , G05B13/027 , G06N3/045 , G06N3/08
Abstract: A framework for offline learning from a set of diverse and suboptimal demonstrations operates by selectively imitating local sequences from the dataset. At least one embodiment recovers performant policies from large manipulation datasets by decomposing the problem into a goal-conditioned imitation and a high-level goal selection mechanism.
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公开(公告)号:US20220382246A1
公开(公告)日:2022-12-01
申请号:US17732313
申请日:2022-04-28
Applicant: NVIDIA Corporation
Inventor: Eric Heiden , Fabio Tozeto Ramos , Yashraj Narang , Miles Macklin , Dieter Fox , Animesh Garg , Mike Skolones
IPC: G05B19/4069 , G06T17/20 , G05B19/416 , B25J9/16
Abstract: A differentiable simulator for simulating the cutting of soft materials by a cutting instrument is provided. In accordance with one aspect of the disclosure, a method for simulating a cutting operation includes: receiving a mesh for an object, modifying the mesh to add virtual nodes associated with a predefined cutting plane, optimizing a set of parameters associated with a simulator based on ground-truth data, and running a simulation via the simulator to generate outputs that include trajectories associated with a cutting instrument. Optimizing the set of parameters can include performing inference based on a set of ground-truth trajectories captured using sensors to measure real-world cutting operations. The inference techniques can employ stochastic gradient descent, stochastic gradient Langevin dynamics, or a Bayesian approach. In an embodiment, the simulator can be utilized to generate control signals for a robot based on the simulated trajectories.
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公开(公告)号:US20220055689A1
公开(公告)日:2022-02-24
申请号:US16998941
申请日:2020-08-20
Applicant: NVIDIA Corporation
Inventor: Ajay Uday Mandlekar , Fabio Tozeto Ramos , Byron Boots , Animesh Garg , Dieter Fox
Abstract: A framework for offline learning from a set of diverse and suboptimal demonstrations operates by selectively imitating local sequences from the dataset. At least one embodiment recovers performant policies from large manipulation datasets by decomposing the problem into a goal-conditioned imitation and a high-level goal selection mechanism.
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公开(公告)号:US12122053B2
公开(公告)日:2024-10-22
申请号:US16916017
申请日:2020-06-29
Applicant: NVIDIA Corporation
Inventor: Carolyn Linjon Chen , Yashraj Shyam Narang , Fabio Tozeto Ramos , Dieter Fox
IPC: B25J9/16 , B25J11/00 , G01N15/00 , G06F17/18 , G06F18/214 , G06F30/27 , G06N3/08 , G06N7/01 , G06T7/00 , G06T7/77 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/64
CPC classification number: B25J9/1671 , B25J9/163 , B25J11/008 , G06F17/18 , G06F18/214 , G06F30/27 , G06N3/08 , G06N7/01 , G06T7/0004 , G06T7/77 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/64 , G01N15/00 , G06T2207/10028
Abstract: Apparatuses, systems, and techniques to identify at least one physical characteristic of materials from computer simulations of manipulations of materials. In at least one embodiment, physical characteristics are determined by comparing measured statistics of observed manipulations to simulations of manipulations using a simulator trained with a likelihood-free inference engine.
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