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Zipeng Fu

Stanford University

10 papers hereh-index 132.8k citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.RO6
  • cond-mat.mtrl-sci1
  • cs.AI1
  • cs.LG1
  • cs.MA1
affiliations
  • Stanford University
Homepage
same name
  • Zipeng Fu — 6 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedMobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

31 citations · 121 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.RO2021★ 1 cited

Coupling Vision and Proprioception for Navigation of Legged Robots

Zipeng Fu, Ashish Kumar, Ananye Agarwal +3

We exploit the complementary strengths of vision and proprioception to develop a point-goal navigation system for legged robots, called VP-Nav. Legged systems are capable of traver…

cs.RO2021★ 6 cited

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

Zipeng Fu, Ashish Kumar, Jitendra Malik +1

Legged locomotion is commonly studied and expressed as a discrete set of gait patterns, like walk, trot, gallop, which are usually treated as given and pre-programmed in legged rob…

cs.MA2021★ 10 cited

Emergence of Theory of Mind Collaboration in Multiagent Systems

Luyao Yuan, Zipeng Fu, Linqi Zhou +2

Currently, in the study of multiagent systems, the intentions of agents are usually ignored. Nonetheless, as pointed out by Theory of Mind (ToM), people regularly reason about othe…

cs.LG2021★ 16 cited

RMA: Rapid Motor Adaptation for Legged Robots

Ashish Kumar, Zipeng Fu, Deepak Pathak +1

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. This paper…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.