For legged robots to match the athletic capabilities of humans and anima...
In this work, we propose a method to generate reduced-order model refere...
In this work, we propose a learning approach for 3D dynamic bipedal walk...
Recent work on sim-to-real learning for bipedal locomotion has demonstra...
Recently, work on reinforcement learning (RL) for bipedal robots has
suc...
Recent work has demonstrated the success of reinforcement learning (RL) ...
In this paper, we describe an approach to achieve dynamic legged locomot...
Controlling a non-statically stable biped is a difficult problem largely...
Deep reinforcement learning (DRL) is a promising approach for developing...
Reinforcement learning has emerged as a promising methodology for traini...