About

Yucheng He is a robotics and surgical engineering researcher whose work sits at the intersection of medical robotics, motion planning, and autonomous control systems. His most significant contribution lies in the development of adaptive control strategies for continuum surgical robots, particularly for natural orifice transluminal endoscopic surgery (NOTES) — a landmark 2021 paper that has garnered 60 citations, reflecting strong community recognition of his approach to managing external load disturbances in highly flexible robotic systems. He has made notable strides in robot-assisted endoscopic nasal surgery, producing two influential 2020 papers on autonomous surgical field-of-view control and safe endoscopic path planning within complex nasal cavity geometries, together accumulating over 50 citations. His research portfolio extends across vascular intervention robotics, force-controlled bone cutting, and lower limb fracture reduction navigation, demonstrating a broad commitment to improving surgical precision and patient safety. Throughout his career, He has consistently addressed real-world clinical challenges — reducing surgeon fatigue, minimizing radiation exposure, and enabling safer navigation through delicate anatomical structures — making his work highly relevant to both the robotics research community and surgical practice.

Research Focus

Key Achievements

5
H-Index
6
Papers
127
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Adaptive Control Strategy for Continuum Surgical Robot Under External Load
60 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Chinese Academy of Sciences, Chinese University of Hong Kong, Guangdong Institute of Intelligent Manufacturing

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago