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

31 citations · 52 across the 6 of their papers we have counts for

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cs.RO20241 cited

UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

Huy Ha, Yihuai Gao, Zipeng Fu +2

We introduce UMI-on-Legs, a new framework that combines real-world and simulation data for quadruped manipulation systems. We scale task-centric data collection in the real world u…

cs.RO20242 cited

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu +19

An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigat…

cs.RO20245 cited

HumanPlus: Humanoid Shadowing and Imitation from Humans

Zipeng Fu, Qingqing Zhao, Qi Wu +2

One of the key arguments for building robots that have similar form factors to human beings is that we can leverage the massive human data for training. Yet, doing so has remained…

cs.RO202431 cited

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

Zipeng Fu, Tony Z. Zhao, Chelsea Finn

Imitation learning from human demonstrations has shown impressive performance in robotics. However, most results focus on table-top manipulation, lacking the mobility and dexterity…

cs.RO202312 cited

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…