activity
20162026
most citedControlling the Solo12 Quadruped Robot with Deep Reinforcement Learning

42 citations · 42 across the 5 of their papers we have counts for

collaborators

7 papers

cs.RO2026

LEAP: Learning Emergent Active Perception for Quadruped Navigation

Ü. Bora Gökbakan, Stéphane Caron, Philippe Souères

Active perception allows autonomous agents to select their viewpoints rather than passively process the viewpoints given to them, enabling them to target where to reduce uncertaint…

cs.RO2026

Direct Dynamic Retargeting for Humanoid Imitation Learning from Videos

Constant Roux, Ludovic De Matteïs, Armand Jordana +4

Imitation Learning from monocular video demonstrations provides a scalable approach for teaching complex skills to humanoid robots. However, translating human motion to humanoids r…

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

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.RO2016

How do walkers avoid a mobile robot crossing their way?

Christian Vassallo, Anne-Hélène Olivier, Philippe Souères +3

Robots and Humans have to share the same environment more and more often. In the aim of steering robots in a safe and convenient manner among humans it is required to understand ho…