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Simon Le Cleac'h
Simon Le Cleac'h
Research Scientist, the AI Institute
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
ALGAMES: A Fast Solver for Constrained Dynamic Games
S Le Cleac'h, M Schwager, Z Manchester
Robotics: Science and Systems (RSS) 2020, 2020
582020
Dojo: A differentiable physics engine for robotics
TA Howell, S Le Cleac'h, J Brüdigam, JZ Kolter, M Schwager, ...
arXiv preprint arXiv:2203.00806, 2022
57*2022
LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning
S Le Cleac’h, M Schwager, Z Manchester
IEEE Robotics and Automation Letters 6 (3), 5485-5492, 2021
532021
Fast Contact-Implicit Model-Predictive Control
S Le Cleac'h, T Howell, M Schwager, Z Manchester
arXiv preprint arXiv:2107.05616, 2021
522021
ALGAMES: A Fast Augmented Lagrangian Solver for Constrained Dynamic Games
S Le Cleac'h, M Schwager, Z Manchester
Autonomous Robots 2022, 2021
442021
Trajectory Optimization with Optimization-Based Dynamics
TA Howell, S Le Cleac'h, S Singh, P Florence, Z Manchester, V Sindhwani
IEEE Robotics and Automation Letters, 2021
252021
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
S Le Cleac'h, HX Yu, M Guo, TA Howell, R Gao, J Wu, Z Manchester, ...
IEEE Robotics and Automation Letters, 2022
222022
CALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints
TA Howell, S Le Cleac'h, K Tracy, Z Manchester
The International Symposium of Robotics Research (ISRR) 2022, 2022
122022
Single-Level Differentiable Contact Simulation
S Le Cleac'h, M Schwager, Z Manchester, V Sindhwani, P Florence, ...
IEEE Robotics and Automation Letters, 2022
42022
Fast Solution of Optimal Control Problems With L1 Cost
S Le Cleac’h, Z Manchester
AAS/AIAA Astrodynamics Specialist Conference, 2019
42019
Robust Entry Vehicle Guidance with Sampling-Based Invariant Funnels
R Derollez, S Le Cleac'h, Z Manchester
IEEE Aerospace Conference, 2020
32020
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Articles 1–11