Search Results for author: Simon Le Cleac'h

Found 2 papers, 1 papers with code

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects

no code implementations • 17 Oct 2022 • Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager

A robot can use this simulation to optimize grasps and manipulation trajectories of neural objects, or to improve the neural object models through gradient-based real-to-simulation transfer.

Friction Object

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ALGAMES: A Fast Solver for Constrained Dynamic Games

1 code implementation • 22 Oct 2019 • Simon Le Cleac'h, Mac Schwager, Zachary Manchester

We evaluate our solver in the context of autonomous driving on scenarios with a strong level of interactions between the vehicles.

Autonomous Driving Model Predictive Control

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