Papers
7
Total Citations
75
H-Index
5
About
Dr. Mei-Jiang Gui is a pioneering researcher at the intersection of robotic surgery, rehabilitation engineering, and intelligent skill assessment. His work centers on advancing percutaneous coronary intervention (PCI) through autonomous robotic systems and machine learning. Dr. Gui’s major contributions include developing novel methods for surgical skill assessment using dynamic warping manipulations (21 citations), which quantifies dexterity in interventional cardiologists. He also designed a Halbach-cylinder-based magnetic skin for robotic tactile sensing (19 citations), enhancing interpretable haptic feedback. In rehabilitation robotics, he modeled a 5-DOF upper limb exoskeleton (12 citations) for patients with central nervous system injuries. A standout achievement is his application of reinforcement learning to vascular robotic systems, including discrete soft actor-critic with auto-encoders (10 citations) and model-based offline RL for autonomous guidewire delivery (8 citations). These works address the nonlinear control challenges of soft-body instruments, reducing reliance on extensive operator training. Dr. Gui’s research, spanning over 75 total citations, demonstrates profound impact in making PCI safer and more accessible, while pushing boundaries in robotic autonomy and skill transfer. His integration of 5G networks for predictive control further underscores his commitment to clinically translatable innovations.
Research Focus
Key Achievements
Top Papers
- 1Surgical Skill Assessment Based on Dynamic Warping Manipulations21 citations · 2022
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- 4Discrete soft actor-critic with auto-encoder on vascular robotic system10 citations · 2022
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