Papers

5

Total Citations

46

H-Index

4

About

Yadong Ding is a robotics researcher whose work spans industrial automation, aerial manipulation, and medical robotics. His primary research areas include dynamic parameter identification, trajectory planning, and control of robotic manipulators. Ding’s most cited work, “A typical dynamic parameter identification method of 6-degree-of-freedom industrial robot” (2017, 21 citations), provides a foundational approach to obtaining accurate dynamic models essential for high-performance robot motion control. He has also made notable contributions to aerial manipulation with a practical time-delay control scheme (2020, 10 citations) that addresses complex dynamic coupling between UAVs and robotic arms. In medical robotics, Ding developed a variable-stiffness manipulator using low-melting-point alloy (2020, 6 citations) for minimally invasive surgery, balancing flexibility and payload capacity. His trajectory planning research (2022, 5 citations; 2020, 4 citations) advances time-optimal methods that account for torque saturation and modeling errors, directly improving industrial robot productivity and accuracy. Through these diverse contributions, Ding has demonstrated expertise in bridging theoretical dynamics with practical control solutions across multiple robotic domains.

Research Focus

Key Achievements

4
H-Index
5
Papers
46
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A typical dynamic parameter identification method of 6-degree-of-freedom industrial robot
21 citations · 2017
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago