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20232025
most citedControlling the Solo12 Quadruped Robot with Deep Reinforcement Learning

42 citations · 43 across the 4 of their papers we have counts for

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6 papers · 1 filter

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.RO20241 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.RO202342 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

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…