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Yu Qiao

6 papers hereh-index 6728 citations6 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV2
same name
  • Yu Qiao — 32 papers, h 20
  • Yu Qiao — 29 papers, h 21
  • Yu Qiao — 26 papers, h 20
  • Yu Qiao — 25 papers, h 12
  • Yu Qiao — 21 papers, h 17
  • Yu Qiao — 16 papers, h 12

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 citedEmbodied Understanding of Driving Scenarios

2 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2025★ 1 cited

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

AgiBot World Contributors, AgiBot-World-Contributors, Qingwen Bu +50

We explore how scalable robot data can address real-world challenges for generalized robotic manipulation. Introducing AgiBot World, a large-scale platform comprising over 1 millio…

cs.RO2024★ 2 cited

Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation

Qingwen Bu, Hongyang Li, Li Chen +5

The increasing demand for versatile robotic systems to operate in diverse and dynamic environments has emphasized the importance of a generalist policy, which leverages a large cro…

cs.RO2024

Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving

Haochen Liu, Li Chen, Yu Qiao +2

Autonomous driving system aims for safe and social-consistent driving through the behavioral integration among interactive agents. However, challenges remain due to multi-agent sce…

cs.RO2024

Learning Manipulation by Predicting Interaction

Jia Zeng, Qingwen Bu, Bangjun Wang +12

Representation learning approaches for robotic manipulation have boomed in recent years. Due to the scarcity of in-domain robot data, prevailing methodologies tend to leverage larg…

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