Wenqing Ren
Papers
3
Total Citations
7
H-Index
2
About
Wenqing Ren is a pioneering researcher at the forefront of intelligent surgical robotics, with a focused expertise in human-machine collaborative systems for craniotomy procedures. Ren’s major contributions lie in developing advanced force control and perception algorithms that enable safer, more precise robot-assisted bone milling and drilling—critical tasks where millimeter-level accuracy and real-time adaptation to tissue stiffness variations are paramount. Notably, their work on a stiffness-observation-based force feedforward compensation control system directly addresses the challenges of multi-scale stiffness changes and abrupt discontinuities encountered during skull milling. Ren’s 2024 paper on an intelligent human-machine collaborative craniotomy system, which integrates a UR5 robotic arm with dual force sensors, has already garnered 3 citations, while two subsequent 2025 studies on force modeling for safer drilling have each received 2 citations—a strong early impact for such recent publications. By tackling the force control complexities unique to surgical environments, Ren is laying the groundwork for a new generation of collaborative robots that can work alongside surgeons with unprecedented safety and adaptability, promising to transform high-risk neurosurgical interventions.
Research Focus
Key Achievements
Top Papers
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