Invention Application
- Patent Title: DIFFERENTIABLE SIMULATOR FOR ROBOTIC CUTTING
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Application No.: US17732313Application Date: 2022-04-28
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Publication No.: US20220382246A1Publication Date: 2022-12-01
- Inventor: Eric Heiden , Fabio Tozeto Ramos , Yashraj Narang , Miles Macklin , Dieter Fox , Animesh Garg , Mike Skolones
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Main IPC: G05B19/4069
- 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.
Information query
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