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researcher

Jun Wu

12 papers hereh-index 5121 citations15 works total

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

author position
  • middle author10
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • physics.flu-dyn1
same name
  • Jun Wu — 12 papers, h 12
  • Jun Wu — 10 papers, h 3
  • Jun Wu — 9 papers, h 24
  • Jun Wu — 8 papers, h 24
  • Jun Wu — 8 papers, h 12
  • Jun Wu — 8 papers, h 11

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
20242026
most citedWalking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2024 · cs.ROShow all

4 papers · 2 filters

cs.RO2024

MOVE: Multi-skill Omnidirectional Legged Locomotion with Limited View in 3D Environments

Songbo Li, Shixin Luo, Jun Wu +1

Legged robots possess inherent advantages in traversing complex 3D terrains. However, previous work on low-cost quadruped robots with egocentric vision systems has been limited by…

cs.RO2024

PIE: Parkour with Implicit-Explicit Learning Framework for Legged Robots

Shixin Luo, Songbo Li, Ruiqi Yu +3

Parkour presents a highly challenging task for legged robots, requiring them to traverse various terrains with agile and smooth locomotion. This necessitates comprehensive understa…

cs.RO2024★ 1 cited

Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds

Ruiqi Yu, Qianshi Wang, Yizhen Wang +3

Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. To acquire comprehensive exteroce…

cs.RO2024

Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion

Zhicheng Wang, Wandi Wei, Ruiqi Yu +2

Accurate state estimation plays a critical role in ensuring the robust control of humanoid robots, particularly in the context of learning-based control policies for legged robots.…

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