21 citations · 64 across the 9 of their papers we have counts for
9 papers
World Models for General Surgical Grasping
Hongbin Lin, Bin Li, Chun Wai Wong +3
Intelligent vision control systems for surgical robots should adapt to unknown and diverse objects while being robust to system disturbances. Previous methods did not meet these re…
End-to-End Learning of Deep Visuomotor Policy for Needle Picking
Hongbin Lin, Bin Li, Xiangyu Chu +3
Needle picking is a challenging manipulation task in robot-assisted surgery due to the characteristics of small slender shapes of needles, needles' variations in shapes and sizes,…
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study
Hongbin Lin, Qian Gao, Xiangyu Chu +4
Learning high-performance deep neural networks for dynamic modeling of high Degree-Of-Freedom (DOF) robots remains challenging due to the sampling complexity. Typical unknown syste…
Open-source High-precision Autonomous Suturing Framework With Visual Guidance
Hongbin Lin, Bin Li, Yunhui Liu +1
Autonomous surgery has attracted increasing attention for revolutionizing robotic patient care, yet remains a distant and challenging goal. In this paper, we propose an image-based…
A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces
Hongbin Lin, C. W. Vincent Hui, Yan Wang +3
External disturbance forces caused by nonlinear springy electrical cables in the Master Tool Manipulator (MTM) of the da Vinci Research Kit (dVRK) limits the usage of the existing…
Fast, Robust, and Versatile Event Detection through HMM Belief State Gradient Measures
Shuangqi Luo, Hongmin Wu, Hongbin Lin +3
Event detection is a critical feature in data-driven systems as it assists with the identification of nominal and anomalous behavior. Event detection is increasingly relevant in ro…