Papers
4
Total Citations
53
H-Index
3
About
Aimin Li’s research focuses on advancing robotic-assisted minimally invasive surgery (MIS) through rigorous performance evaluation, skill assessment, and control system design. His major contributions lie in developing quantitative frameworks to analyze and improve surgical robotic systems. Notably, his work on “Motion control skill assessment based on kinematic analysis of robotic end‐effector movements” (31 citations) introduced a novel method to quantify the speed-accuracy-stability trade-off in robotic movements, enabling objective skill evaluation for surgeons. In another key study (14 citations), Li modeled hand–eye coordination in surgical robotics, addressing the ergonomic and performance challenges of indirect instrument-camera control. He also advanced pneumatic actuator control for MRI-compatible robots, proposing a pressure observer-based adaptive dynamic surface controller to ensure precise needle insertion under long transmission line constraints. Additionally, Li developed a “Safety oriented evaluation” method (SOE) to assess surgical performance, highlighting his commitment to patient safety. With over 50 total citations, his work bridges robotics, human factors, and control engineering, offering practical tools for training and system optimization in minimally invasive surgery.
Research Focus
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Top Papers
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