Papers
3
Total Citations
32
H-Index
3
About
Shida Li’s research bridges precision manufacturing and medical robotics, focusing on vibration suppression, adaptive control, and robotic-assisted surgery. In the field of aeroengine blade machining, Li developed a groundbreaking impedance-compensation predictive control strategy to suppress vibrations in macro–micro grinding systems, directly improving surface quality and tool life. This work, published in 2023, has already garnered 14 citations for its practical impact on high-precision manufacturing. Li also advanced robotic polishing by proposing an adaptive friction compensation control method based on the LuGre model, addressing response lag and stick-slip oscillations in pneumatic end-effectors—a critical contribution to automated finishing processes, with 12 citations. Expanding into medical robotics, Li led a retrospective study on navigation robot-assisted oblique lateral lumbar interbody fusion, demonstrating improved screw placement accuracy and safety over conventional techniques. This 2024 study, with 6 citations, highlights Li’s versatility in translating control theory into clinical applications. By integrating adaptive control, friction compensation, and robotic precision, Shida Li is shaping the future of intelligent manufacturing and minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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