Education

• B.S. in Mechanical Engineering, Technical University Munich, 2018
• M.S. in Robotics, Cognition, Intelligence, Technical University Munich, 2020
• Ph.D in Robotics, École Normale Supérieure de Paris and Sorbonne University, 2025 (expected)

Work experience

• 01/2021 - 01/2022: Research Engineer, Wandercraft, Paris
  • Dynamical walk team
  • Reinforcement learning for self-balanced exoskeleton
• 01/2022 - 01/2023: Research Engineer, Inria, Paris
  • Willow team
  • Software development for pinocchio and proxsuite

Publications

Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante

Duburcq et al. (2022). "Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante." IROS22.

Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning

Bambade et al. (2023). "Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning." ICLR24.

PROXQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond

Bambade et al. (2023). "PROXQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond." HAL.

Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems

Le Lidec et al. (2024). "Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems." NAHS24.