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Yao Mu

5 papers hereh-index 4110 citations6 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV1
same name
  • Yao Mu — 23 papers, h 2
  • Yao Mu — 20 papers, h 14
  • Yao Mu — 20 papers, h 4
  • Yao Mu — 14 papers, h 12
  • Yao Mu — 12 papers, h 4
  • Yao Mu — 10 papers, h 5

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

most citedVoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model

8 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2025

SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer

Kang Ding, Chunxuan Jiao, Yunze Hu +4

Swarm robotic trajectory planning faces challenges in computational efficiency, scalability, and safety, particularly in complex, obstacle-dense environments. To address these issu…

cs.RO2025★ 2 cited

AINav: Large Language Model-Based Adaptive Interactive Navigation

Kangjie Zhou, Yao Mu, Haoyang Song +4

Robotic navigation in complex environments remains a critical research challenge. Traditional navigation methods focus on optimal trajectory generation within fixed free workspace,…

cs.RO2024★ 1 cited

CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations

Pengying Wu, Yao Mu, Kangjie Zhou +3

Visual navigation tasks are critical for household service robots. As these tasks become increasingly complex, effective communication and collaboration among multiple robots becom…

cs.RO2024★ 8 cited

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model

Pengying Wu, Yao Mu, Bingxian Wu +4

In the realm of household robotics, the Zero-Shot Object Navigation (ZSON) task empowers agents to adeptly traverse unfamiliar environments and locate objects from novel categories…

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