activity
20202025
most citedControlling the Solo12 Quadruped Robot with Deep Reinforcement Learning

42 citations · 54 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Very High Frequency Interpolation for Direct Torque Control

Rafael Kourdis, Maciej Stępień, Jérôme Manhes +4

Torque control enables agile and robust robot motion, but deployment is often hindered by instability and hardware limits. Here, we present a novel solution to execute whole-body l…

cs.RO2025

Constrained Reinforcement Learning for Unstable Point-Feet Bipedal Locomotion Applied to the Bolt Robot

Constant Roux, Elliot Chane-Sane, Ludovic De Matteïs +4

Bipedal locomotion is a key challenge in robotics, particularly for robots like Bolt, which have a point-foot design. This study explores the control of such underactuated robots u…

cs.RO2024★ 1 cited

SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience

Elliot Chane-Sane, Joseph Amigo, Thomas Flayols +2

Parkour poses a significant challenge for legged robots, requiring navigation through complex environments with agility and precision based on limited sensory inputs. In this work,…

cs.RO2024

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…

cs.RO2023★ 42 cited

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…

cs.RO2023★ 10 cited

Perceptive Locomotion through Whole-Body MPC and Optimal Region Selection

Thomas Corbères, Carlos Mastalli, Wolfgang Merkt +6

Real-time synthesis of legged locomotion maneuvers in challenging industrial settings is still an open problem, requiring simultaneous determination of footsteps locations several…

cs.RO2020★ 1 cited

Solving Footstep Planning as a Feasibility Problem using L1-norm Minimization (Extended Version)

Daeun Song, Pierre Fernbach, Thomas Flayols +4

One challenge of legged locomotion on uneven terrains is to deal with both the discrete problem of selecting a contact surface for each footstep and the continuous problem of placi…