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Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante., , , and . ICRA, page 3756-3762. IEEE, (2020)Feedback Control of an Exoskeleton for Paraplegics: Toward Robustly Stable Hands-free Dynamic Walking., , , , , , , , , and 2 other author(s). CoRR, (2018)Towards Variable Assistance for Lower Body Exoskeletons., , , , and . CoRR, (2019)Learning and Optimization of the Locomotion with an Exoskeleton for Paraplegic People. (Apprentissage et Optimisation de la Locomotion pour un Exosquelette à destination des Patients Paraplégiques).. PSL University, Paris, France, (2022)Towards Variable Assistance for Lower Body Exoskeletons., , , , and . IEEE Robotics Autom. Lett., 5 (1): 266-273 (2020)Tianshou: A Highly Modularized Deep Reinforcement Learning Library., , , , , , , , and . J. Mach. Learn. Res., (2022)Tianshou: a Highly Modularized Deep Reinforcement Learning Library., , , , , , , and . CoRR, (2021)Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante., , , , and . IROS, page 9302-9309. IEEE, (2022)Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante., , , and . CoRR, (2019)Towards Restoring Locomotion for Paraplegics: Realizing Dynamically Stable Walking on Exoskeletons., , , , , , , , and . ICRA, page 2804-2811. IEEE, (2018)