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Junkai Zhao

10 papers hereh-index 5130 citations6 works total

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

author position
  • middle author6

Across the 6 of 10 papers where every author was matched, so the position is known.

fields
  • cs.RO8
  • cs.CV2
same name
  • Junkai Zhao — 3 papers, h 1
  • Junkai Zhao — 1 paper, h 2
  • Junkai Zhao — 1 paper

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 citedDBPF: A Framework for Efficient and Robust Dynamic Bin-Picking

6 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.RO2025

METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model

Yankai Fu, Ning Chen, Junkai Zhao +5

Building a generalist robot that can perceive, reason, and act across diverse tasks remains an open challenge, especially for dexterous manipulation. A major bottleneck lies in the…

cs.RO2025

RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Shihan Wu, Xuecheng Liu, Shaoxuan Xie +81

Despite the critical role of bimanual manipulation in endowing robots with human-like dexterity, large-scale and diverse datasets remain scarce due to the significant hardware hete…

cs.RO2025

RoboOS-NeXT: A Unified Memory-based Framework for Lifelong, Scalable, and Robust Multi-Robot Collaboration

Huajie Tan, Cheng Chi, Xiansheng Chen +21

The proliferation of collaborative robots across diverse tasks and embodiments presents a central challenge: achieving lifelong adaptability, scalable coordination, and robust sche…

cs.RO2025

RoboBrain 2.0 Technical Report

BAAI RoboBrain Team, Mingyu Cao, Huajie Tan +50

We introduce RoboBrain 2.0, our latest generation of embodied vision-language foundation models, designed to unify perception, reasoning, and planning for complex embodied tasks in…

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