Qiyuan Qiao

About Me

I am a Ph.D. student at the School of Computing and Data Science, The University of Hong Kong, supervised by Prof. Dong Xu and Prof. Peng Lu, working on robotics and embodied intelligence. My research focuses on data-efficient policy learning and world models for robotic manipulation, alongside 3D perception and adaptive gripper design. During my undergraduate studies at Zhejiang University, I received guidance from Prof. Jian Chen and Prof. Weifei Hu.

Research Interests

• Robotic Grasping and Manipulation: Adaptive grippers, dynamic object interaction, and contact-rich manipulation.
• 3D Perception for Robotics: 3D reconstruction, scene understanding, and world models for navigation and manipulation.
• Data-Efficient Robot Learning: Learning from reversed tasks, world-model-driven policies, and online adaptation with minimal human supervision.

News

• [Sep. 2026] Our paper “Reverse to Advance” has been accepted to NeurIPS 2026!
• [Jul. 2026] “Reverse to Advance” is now on arXiv: learning hard manipulation tasks from reversed easy-task trajectories.
• [Feb. 2026] “AdaWorldPolicy” is now on arXiv. See the project page for world-model-driven manipulation with online adaptation.
• [Nov. 2025] Our paper “Flow-Aided Flight Through Dynamic Clutters From Point to Motion” has been accepted to IEEE Robotics and Automation Letters (RA-L).
• [Nov. 2025] Our paper “TORM: Transparent Objects Reconstruction and Manipulation With Multi-View Segmentation” has been accepted to IEEE Robotics and Automation Letters (RA-L).
• [Oct. 2025] Our paper “Breaking the Static Assumption: A Dynamic-Aware LIO Framework via Spatio-Temporal Normal Analysis” has been accepted to IEEE Robotics and Automation Letters (RA-L).
• [Oct. 2025] Our paper “Lasso Gripper: A String Shooting-Retracting Mechanism for Shape-Adaptive Grasping” has been accepted to ROBIO 2025.
• [Dec. 2022] My patent “Wire-controlled flexible manipulator” (CN218110822U) has been granted.

Publications & Patents

Latest work first. See Google Scholar for citations.

Education

• Ph.D. in Computer Science (2025–present), School of Computing and Data Science, The University of Hong Kong
• M.Phil. in Mechanical Engineering (2023–2025), The University of Hong Kong
• M.Sc. in Mechanical Engineering (2022–2023), The University of Hong Kong
• B.Eng. in Mechatronics Engineering (2018–2022), Zhejiang University

Services

Reviewer

• ICRA, IROS, RA-L, npj Artificial Intelligence

Teaching Assistant

• CCST9050 Robot: Flesh, Machines, Intelligence, The University of Hong Kong
• COMP3278 Introduction to database management systems, The University of Hong Kong

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