Wenlei Qin
Papers
3
Total Citations
15
H-Index
3
About
Wenlei Qin is a leading researcher in robotic-assisted surgery, with a primary focus on enhancing the safety and precision of teleoperated systems for delicate medical procedures like retinal surgery. Their major contributions lie in developing shared control frameworks that integrate artificial potential fields and control barrier functions to guide surgeons' commands and constrain interaction forces, effectively preventing patient injury from human error. Qin's most-cited work, "A Shared Control Method for Teleoperated Robot Using Artificial Potential Field" (2024, 7 citations), introduces tubular guidance constraints that optimize surgical commands within enclosed spatial environments. A subsequent 2025 paper (5 citations) advances this by proposing a haptic shared control framework that explicitly limits tool-to-tissue forces during teleoperation. Earlier foundational work on disturbance elimination for modular joint torque sensors in collaborative robots (2020, 3 citations) demonstrates their broader expertise in robotic sensing and control. By directly addressing the critical challenge of safe human-robot interaction in high-stakes surgical settings, Qin's research is paving the way for more reliable and clinically viable robotic assistance, where subtle force control can mean the difference between success and injury.
Research Focus
Key Achievements
Top Papers
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