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Bio
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Simon Le Cleac’h: optimization and robot learning.
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Simon Le Cleac'h
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Simon Le Cleac'h
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2026-02-24 14:46:47
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Bio - Simon Le Cleac’h Skip to primary navigation Skip to content Skip to footer Simon Le Cleac'h Papers Talks CV Teaching Software Gallery Toggle search Toggle menu Simon Le Cleac'h Optimization and robot learning. Follow Twitter GitHub Google Scholar YouTube Bio I am a Ph.D candidate in robotics and optimization at Stanford University. My research focuses on developing fast optimization algorithms for simulation, planning, and control for robotic systems. I am designing and implementing differentiable physics tools for trajectory tracking, planning and reinforcement learning tasks in robotic locomotion and manipulation. Previously, I implemented optimization algorithms enabling game-theoretic reasoning for autonomous vehicles. Portfolio Unified collision detection and contact dynamics With Silico, we unified collision detection and contact dynamics into a single optimization problem. With this novel formulation, we can smoot...
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