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...
The complex dynamics of agile robotic legged locomotion requires motion
...
Recently, work on reinforcement learning (RL) for bipedal robots has
suc...
In this paper, we investigate whether applying ankle torques during
mid-...
Accurate and precise terrain estimation is a difficult problem for robot...
Recent work has demonstrated the success of reinforcement learning (RL) ...
We study the problem of realizing the full spectrum of bipedal locomotio...
In this paper, we describe an approach to achieve dynamic legged locomot...
Controlling a non-statically stable biped is a difficult problem largely...
We propose a method to generate actuation plans for a reduced order, dyn...
Deep reinforcement learning (DRL) is a promising approach for developing...
Bipedal locomotion skills are challenging to develop. Control strategies...