Papers

7

Total Citations

204

H-Index

6

About

Dr. Jinya Su is a pioneering researcher whose work bridges the cutting-edge fields of agricultural robotics and advanced control theory. Her research is defined by two complementary thrusts: developing intelligent vision systems for precision agriculture and designing robust, finite-time control strategies for complex robotic systems. In agricultural technology, Dr. Su has made significant contributions to automated grape harvesting. Her highly cited 2023 work on real-time grape cluster tracking and counting using a channel-pruned YOLOv5s model (78 citations) and her 2021 study on field grape bunch segmentation via an improved pyramid scene parsing network (25 citations) provide the foundational perception algorithms needed for robotic fruit picking. In control systems, Dr. Su is recognized for her pioneering work on continuous finite-time anti-disturbance control. Her 2013 paper on this topic (46 citations) introduced a novel continuous terminal sliding mode control method that stabilizes nonlinear systems under external disturbances and parameter uncertainties. She has further advanced disturbance rejection control for mobile robots and robotic manipulators, and recently proposed a generalized extended state observer-based force control method for dynamic quadruped robot locomotion. Through her diverse and impactful work, Dr. Su is shaping the future of both intelligent agriculture and resilient robotic systems.

Research Focus

Key Achievements

6
H-Index
7
Papers
204
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Real-time tracking and counting of grape clusters in the field based on channel pruning with YOLOv5s
78 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Aberdeen, Loughborough University, Southeast University, University of Essex

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago