Luxin Man

ALARM: Safe Reinforcement Learning With Reliable Mimicry for Robust Legged Locomotion

Legged robots are supposed to traverse complicated environments, which makes it challenging to design a model-based controller due to their functional complexity. Currently, using deep reinforcement learning to improve the adaptability of robots in complex scenarios has been a major research trend.