Ruolin Liu

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot

Recent advancements in imitation learning have shown promising results in robotic manipulation, driven by the availability of high-quality training data. To improve data collection efficiency, some approaches focus on developing specialized teleoperation devices for robot control, while others direc