12 citations · 16 across the 9 of their papers we have counts for
9 papers
TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
Jielin Wu, Shenzhe Yao, Guanqi He +6
Human hand-object demonstrations provide dense reference motions for training dexterous manipulation reinforcement learning (RL) policies through reference tracking. However, to us…
Is Your Trajectory Displacement Safe in Long-tail?
Qiao Sun, Weicheng Zheng, Yixin Huang +1
Long-tail scenarios remain a major bottleneck for autonomous driving evaluation, even as datasets grow by orders of magnitude. Existing evaluation pipelines are rarely human-aligne…
TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour
Shaoting Zhu, Baijun Ye, Jiaxuan Wang +5
Achieving highly dynamic parkour with humanoid robots on complex terrains unseen during the pre-training stage remains a challenge in robotics. Although general locomotion policies…
Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids
Shaoting Zhu, Ziwen Zhuang, Mengjie Zhao +2
Achieving robust humanoid locomotion in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, integrating exteroc…
Deep Whole-body Parkour
Ziwen Zhuang, Shaoting Zhu, Mengjie Zhao +1
Current approaches to humanoid control generally fall into two paradigms: perceptive locomotion, which handles terrain well but is limited to pedal gaits, and general motion tracki…
Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions
Ziwen Zhuang, Hang Zhao
Previous humanoid robot research works treat the robot as a bipedal mobile manipulation platform, where only the feet and hands contact the environment. However, we humans use all…
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
Xin Duan, Ziwen Zhuang, Hang Zhao +1
Quadrupedal animals can perform agile and playful tasks while interacting with real-world objects. For instance, a trained dog can track and catch a flying frisbee before it touche…
Humanoid Parkour Learning
Ziwen Zhuang, Shenzhe Yao, Hang Zhao
Parkour is a grand challenge for legged locomotion, even for quadruped robots, requiring active perception and various maneuvers to overcome multiple challenging obstacles. Existin…
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments. Existing methods can generate either diverse…