Papers
106
Total Citations
4,649
H-Index
38
About
Han Ding is a prominent researcher whose work sits at the intersection of robotics, intelligent manufacturing, and advanced machining systems. Best known for his pioneering contributions to robotic grinding and polishing, Ding has systematically addressed the core challenges of automating the precision machining of complex components — from aero-engine blades to large aerospace structures. His 2020 review on robotic grinding of complex components (408 citations) stands as a landmark reference in the field, while complementary works on force control, vibration suppression, and belt grinding (collectively exceeding 400 citations) demonstrate his sustained focus on making robotic finishing processes both reliable and intelligent. Beyond machining, Ding has made significant contributions to multi-robot coordination, posture optimization, and trajectory planning, tackling fundamental problems such as the AXB = YCZ calibration challenge in dual-robot systems. His research extends further into cyber-physical systems, soft surgical robotics, and human-robot interaction — reflecting a remarkably broad yet coherent vision of intelligent systems. His involvement in China's Tri-Co Robot initiative underscores his influence on national robotics strategy. With multiple papers surpassing 100 citations and a total impact spanning thousands of citations, Han Ding stands as a leading figure shaping the future of intelligent manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
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- 4Data driven discovery of cyber physical systems168 citations · 2019
- 5Mobile-robotic machining for large complex components: A review study157 citations · 2019
- 6Intelligent Soft Surgical Robots for Next‐Generation Minimally Invasive Surgery138 citations · 2021
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