42 citations · 42 across the 3 of their papers we have counts for
3 papers
Safe Execution of RL Policies Via Acceleration-Based CBF-QP Constraint Enforcement for Real-World Robotic Deployments
Bastien Muraccioli, Alice Cariou, Pierre-Alexandre Leziart +4
Reinforcement Learning (RL) has demonstrated remarkable capabilities for solving complex robotic control problems, but its lack of safety guarantees severely limits deployment on h…
CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning
Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols +3
Deep Reinforcement Learning (RL) has demonstrated impressive results in solving complex robotic tasks such as quadruped locomotion. Yet, current solvers fail to produce efficient p…
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning
Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols +3
Quadruped robots require robust and general locomotion skills to exploit their mobility potential in complex and challenging environments. In this work, we present the first implem…