Papers
7
Total Citations
183
H-Index
5
About
Kaikang Chen is at the forefront of agricultural robotics, pioneering intelligent automation for plant factories and precision farming. His research integrates fuzzy PID control, digital twins, and visual perception to enhance the efficiency and reliability of transplanting and harvesting robots. Chen’s most influential work, “Simulation of hydraulic transplanting robot control system based on fuzzy PID controller,” has garnered 146 citations, underscoring its foundational impact on robotic stability and precision. He has advanced non-destructive harvesting with models like TomatoPoseNet, which achieves 6D pose estimation for tomatoes, and developed semantic segmentation-based methods for observation pose estimation—both critical for minimizing crop damage. Chen’s digital twin frameworks enable real-time vibration monitoring and transplanting quality analysis in plant factories, directly improving seedling survival rates and economic yields. His recent designs, including an intelligent pollination robot for facility tomatoes, further demonstrate his commitment to end-to-end automation. With a growing citation record exceeding 180 total citations, Chen’s work bridges control theory, computer vision, and IoT, offering scalable solutions for sustainable agriculture. His contributions are essential reading for researchers in agri-robotics and cyber-physical systems.
Research Focus
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Top Papers
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