Robot Learning

RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot
Abstract: A key challenge in robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots. Recent research in one-shot imitation learning has shown promise in transferring trained policies to new tasks based on demonstrations.
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Junbo Wang, Haoyi Zhu 朱皓怡, Cewu Lu
Cite Project PDF Arxiv
RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot