RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang,Hongjie Fang,Zhenyu Tang,Jirong Liu,Chenxi Wang,Junbo Wang,Haoyi Zhu,Cewu Lu,Hao-Shu Fang,Hongjie Fang,Zhenyu Tang,Jirong Liu,Chenxi Wang,Junbo Wang,Haoyi Zhu,Cewu Lu
A key challenge for robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots. Recent progress in one-shot imitation learning and robotic foundation models have shown promise in transferring trained policies to new tasks based on demonstrations. This feature is attractive for enabling robots to acquire new skills and improve their manipulative ability. Howe...
