Search Results for author: Zipeng Fu

Found 12 papers, 2 papers with code

HumanPlus: Humanoid Shadowing and Imitation from Humans

no code implementations15 Jun 2024 Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn

This policy transfers to the real world and allows humanoid robots to follow human body and hand motion in real time using only a RGB camera, i. e. shadowing.

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

no code implementations4 Jan 2024 Zipeng Fu, Tony Z. Zhao, Chelsea Finn

We first present Mobile ALOHA, a low-cost and whole-body teleoperation system for data collection.

Imitation Learning

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment

no code implementations2 Nov 2023 Annie S. Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn

To succeed in the real world, robots must cope with situations that differ from those seen during training.

Robot Parkour Learning

no code implementations11 Sep 2023 Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher Atkeson, Soeren Schwertfeger, Chelsea Finn, Hang Zhao

Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments.

Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

no code implementations18 Oct 2022 Zipeng Fu, Xuxin Cheng, Deepak Pathak

The standard hierarchical control pipeline for such legged manipulators is to decouple the controller into that of manipulation and locomotion.

Coupling Vision and Proprioception for Navigation of Legged Robots

no code implementations CVPR 2022 Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak

A safety advisor module adds sensed unexpected obstacles to the occupancy map and environment-determined speed limits to the velocity command generator.

Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots

no code implementations25 Oct 2021 Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak

We demonstrate that learning to minimize energy consumption plays a key role in the emergence of natural locomotion gaits at different speeds in real quadruped robots.

Emergence of Theory of Mind Collaboration in Multiagent Systems

no code implementations30 Sep 2021 Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu

Currently, in the study of multiagent systems, the intentions of agents are usually ignored.

Decision Making

RMA: Rapid Motor Adaptation for Legged Robots

1 code implementation8 Jul 2021 Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik

Successful real-world deployment of legged robots would require them to adapt in real-time to unseen scenarios like changing terrains, changing payloads, wear and tear.

Sand

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