Papers
25
Total Citations
495
H-Index
11
About
Chuanyu Wu is a prominent robotics and agricultural automation researcher whose work bridges intelligent sensing, robotic manipulation, and precision agriculture. Best known for his pioneering contributions to tea harvesting robotics, Wu has developed sophisticated systems for in-field tea shoot detection and 3D localization using RGB-D cameras (94 citations), advanced segmentation algorithms for identifying premium tea sprouts (82 citations), and a fully integrated robotic plucking system validated under real field conditions (60 citations). His deep learning expertise is evident in compressed YOLOv3-based detection models optimized for edge deployment, while his agricultural vision work extends to seedling health identification and weed-lettuce segmentation in greenhouse environments. Beyond agriculture, Wu has made notable contributions to soft robotics, designing innovative pneumatic actuators and soft-rigid grippers that minimize object damage during grasping, alongside earlier work on hybrid robots for friction stir welding (37 citations). More recently, he has expanded into underwater robotics with an adaptive visual SLAM system. With a cumulative body of work exceeding 420 citations, Wu's research consistently translates cutting-edge robotics and computer vision into practical, real-world agricultural and industrial solutions, making him an influential figure in intelligent agricultural machinery and field robotics.
Research Focus
Key Achievements
Top Papers
- 1In-field tea shoot detection and 3D localization using an RGB-D camera94 citations · 2021
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- 4A hybrid robot for friction stir welding37 citations · 2014
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- 8An underwater visual SLAM system with adaptive image enhancement20 citations · 2025
- 9Design of cylindrical soft vacuum actuator for soft robots19 citations · 2021
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