Han‐Fei Ding
Papers
7
Total Citations
70
H-Index
4
About
Han-Fei Ding is a pioneering roboticist whose work is reshaping the frontiers of surgical and industrial automation. His research centers on soft robotics, intelligent perception, and autonomous manipulation, with a particular focus on developing next-generation systems for minimally invasive surgery and constrained-environment operations. Ding’s most influential work, the 2021 review “Intelligent Soft Surgical Robots for Next‐Generation Minimally Invasive Surgery,” has garnered 42 citations and is widely regarded as a foundational roadmap for the field, envisioning soft, compliant robots that can safely navigate delicate anatomy. He has also made significant contributions to robot-assisted surgery, including automatic keyframe detection from expert surgeons’ experience (7 citations) and a novel multimodal sensor that fuses visual, proximity, and tactile perception (4 citations). Beyond medicine, Ding addresses fundamental challenges in robotic control—such as modeling rigid-flexible coupling robots for narrow spaces, direct visual servoing with enhanced convergence, and dynamic parameter identification for elastic joint robots with hysteresis. His work on binocular 3D reconstruction for black rubber composites (3 citations) demonstrates his ability to solve real-world industrial problems. With a growing citation impact and a portfolio spanning from soft surgical tools to AI-driven perception, Han-Fei Ding is establishing himself as a versatile innovator at the intersection of robotics, AI, and human-centered engineering.
Research Focus
Key Achievements
Top Papers
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- 4Direct visual servoing based on a new basis set and switching strategy5 citations · 2025
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