3 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning from Wild Animal Videos
Elliot Chane-Sane, Constant Roux, Olivier Stasse +1
We propose to learn legged robot locomotion skills by watching thousands of wild animal videos from the internet, such as those featured in nature documentaries. Indeed, such video…
Whole-body MPC and sensitivity analysis of a real time foot step sequencer for a biped robot Bolt
Constant Roux, Côme Perrot, Olivier Stasse
This paper presents a novel controller for the bipedal robot Bolt. Our approach leverages a whole-body model predictive controller in conjunction with a footstep sequencer to achie…
NAS: N-step computation of All Solutions to the footstep planning problem
Jiayi Wang, Saeid Samadi, Hefan Wang +4
How many ways are there to climb a staircase in a given number of steps? Infinitely many, if we focus on the continuous aspect of the problem. A finite, possibly large number if we…
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…