Shihong Ding
Papers
9
Total Citations
219
H-Index
7
About
Dr. Shihong Ding is a leading researcher in agricultural robotics and nonlinear control systems, whose work bridges the gap between theoretical control design and practical automation. His primary research areas include visual servoing for nonholonomic mobile robots, finite-time stabilization, and sliding mode control, with a strong emphasis on applications in agricultural harvesting. Dr. Ding’s most impactful contribution is the development of robust control strategies for apple-picking robots, as demonstrated by his highly cited work on fruit recognition in natural environments (62 citations) and apple tree branch segmentation (47 citations). He has made fundamental advances in global finite-time stabilization for nonholonomic systems using visual servoing, addressing challenges like uncalibrated parameters and external disturbances. His theoretical work on cascaded systems and homogeneous methods has provided a rigorous framework for ensuring stability in complex robotic systems. More recently, Dr. Ding has pioneered event-triggered adaptive super-twisting algorithms, which dynamically adjust control gains to prevent overestimation while reducing unnecessary data transmission. With over 200 total citations across his publications, his research continues to shape the development of intelligent, efficient, and reliable robotic systems for precision agriculture and beyond.
Research Focus
Key Achievements
Top Papers
- 1Recognition of apple fruit in natural environment62 citations · 2015
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- 5An Adaptive Generalized Super-Twisting Algorithm via Event-Triggered Control19 citations · 2024
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