quentin le lidec

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I am a Ph.D. student under the supervision of Justin Carpentier, Ivan Laptev, and Cordelia Schmid.

My research interests are in Machine Learning, Optimization, and Computer Vision, particularly as applied to Robotics. I also work on the open-source Pinocchio and Simple libraries, making differentiable physics tools accessible for the robotics community.

Prior to my Ph.D., I received an engineering degree from École Polytechnique and an MSc in Mathematics, Computer Vision, and Machine Learning from École Normale Supérieure Paris-Saclay.

news

Nov 09, 2024 We are organizing a workshop on Differentiable Optimization Everywhere: Simulation, Estimation, Learning, and Control at CORL’24 in Munich!
Jul 14, 2024 Our paper From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach was accepted to RSS’24!

selected publications

  1. End-to-End and Highly-Efficient Differentiable Simulation for Robotics
    Quentin Le Lidec, Louis Montaut, De Mont-Marin Yann, and 1 more author
    In preprint , May 2024
  2. From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach
    Justin Carpentier, Quentin Le Lidec, and Louis Montaut
    In Proceedings of Robotics: Science and Systems , Jul 2024