Portrait of Hongbin Lin

Hello, I’m Hongbin (Ben) Lin

I build robots. I'm passionate about full-stack robot systems and cutting-edge robotics research.
I was a Robotics Algorithm Engineer at Knowin AI and have also worked at XDOF. I received my PhD from CUHK, advised by Prof. Kwok Wai Samuel Au.
Research interests: World Models, Reinforcement Learning, Surgical Robotics, Robot Manipulation.
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News

Nov 2026
Our paper Visuomotor Grasping with World Models for Surgical Robots has been accepted to the International Journal of Robotics Research (IJRR).

Publications

Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot Manipulation
Hongbin Lin, Juan Rojas, Kwok Wai Samuel Au
arXiv, 2025
Paper
Visuomotor Grasping with World Models for Surgical Robots
Hongbin Lin, Bin Li, Kwok Wai Samuel Au
International Journal of Robotics Research (IJRR), 2026 (accepted)
Paper
World Models for General Surgical Grasping
Hongbin Lin, Bin Li, Chun Wai Wong, Juan Rojas, Xiangyu Chu, Kwok Wai Samuel Au
Robotics: Science and Systems (RSS), 2024
Project Code
On the Monocular 3D Pose Estimation for Arbitrary Shaped Needle in Dynamic Scenes: An Efficient Visual Learning and Geometry Modeling Approach
Bin Li, Bo Lu, Hongbin Lin, Yaxiang Wang, Fangxun Zhong, Qi Dou, Yunhui Liu
IEEE Transactions on Medical Robotics and Bionics, 2024
Paper
End-to-end learning of deep visuomotor policy for needle picking
Hongbin Lin, Bin Li, Xiangyu Chu, Qi Dou, Yunhui Liu and Kwok Wai Samuel Au
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Project Code Paper
Open-source High-precision Autonomous Suturing Framework With Visual Guidance
Hongbin Lin, Bin Li, Yunhui Liu, Kwok Wai Samuel Au
IEEE Int. Conf. Robotics and Automation (ICRA) Workshop, 2022
Project Code Paper
Learning deep nets for gravitational dynamics with unknown disturbance through physical knowledge distillation: Initial feasibility study
Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au
IEEE Robotics and Automation Letters, 2021 (presented at ICRA 2021)
Project Code Paper
A reliable gravity compensation control strategy for dVRK robotic arms with nonlinear disturbance forces
Hongbin Lin, C. W. Vincent Hui, Yan Wang, Anton Deguet, Peter Kazanzides, K. W. Samuel Au
IEEE Robotics and Automation Letters, 2019 (presented at IROS 2019)
Project Code Paper