Zhibin (Alex) Li — accepted AI-conference papers

2026

DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands from Third-Person Human Videos

Yucheng Xu, Xiaofeng Mao, Elle Miller, Yang Li, Xinyu Yi, Zhibin (Alex) Li +1

ICRA 2026poster

This work presents DemoBot, a learning framework that enables a dual-arm, multi-finger robotic system to acquire complex manipulation skills from a single unannotated RGB-D video demonstration. The method extracts structured motion trajectories of both hands and objects from raw video data. These tr…

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2026

Learning End-To-End Dexterous Arm-Hand VLA Policies with Shared Autonomy: DexGrasp AI Copilot for Efficient Teleoperation

Yu Cui, Yujian Zhang, Lina Tao, Yang Li, Xinyu Yi, Zhibin (Alex) Li

ICRA 2026poster

Achieving human-like dexterous manipulation is essential for general-purpose robots but remains a challenge. Recent advances in Vision-Language-Action (VLA) models offer the potential to learn flexible skills from demonstration data. However, training effective VLAs requires a large amount of high-q…

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