A review: Robust locomotion for biped humanoid robots
Y ** for humanoid robots using reinforcement learning: Application to standing push recovery on the exoskeleton atalante
State-of-the-art reinforcement learning is now able to learn versatile locomotion, balancing
and push-recovery capabilities for bipedal robots in simulation. Yet, the reality gap has …
and push-recovery capabilities for bipedal robots in simulation. Yet, the reality gap has …
Emergence of human-comparable balancing behaviours by deep reinforcement learning
This paper presents a hierarchical framework based on deep reinforcement learning that
naturally acquires control policies that are capable of performing balancing behaviours such …
naturally acquires control policies that are capable of performing balancing behaviours such …