SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
Sammy Christen,Lan Feng,Wei Yang,Yu-Wei Chao,Otmar Hilliges,Jie Song,Sammy Christen,Lan Feng,Wei Yang,Yu-Wei Chao,Otmar Hilliges,Jie Song
Vision-based human-to-robot handover is an important and challenging task in human-robot interaction. Recent work has attempted to train robot policies by interacting with dynamic virtual humans in simulated environments, where the policies can later be transferred to the real world. However, a major bottleneck is the reliance on human motion capture data, which is expensive to acquire and difficu...
