Robot Learning

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Extensive experiments prove that point cloud observations are beneficial for robot learning.
Haoyi Zhu 朱皓怡, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He
Cite Project Github PDF Arxiv
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on 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