Papers
5
Total Citations
62
H-Index
4
About
Hang Pan is a robotics researcher whose work bridges precision agriculture, industrial automation, and cybersecurity. His primary research areas include robotic manipulation, autonomous pollination, and intelligent manufacturing systems. Pan’s most notable contribution is the development of a robotic arm capable of autonomously and precisely delivering pollen to forsythia flower pistils—a breakthrough for agricultural robotics that has garnered 23 citations. He has also advanced the field of industrial security by proposing a PSO-H-SVM-based intrusion detection method for robotic arms, addressing critical vulnerabilities in networked manufacturing systems (18 citations). In the domain of robot writing, Pan tackled the complex challenge of nonrigid point matching for Chinese characters, enabling robots to replicate intricate calligraphic strokes (11 citations). More recently, he has focused on improving operational efficiency in robotic pollination through transformer-based pose error estimation, and on enhancing flexible printed circuit (FPC) assembly in mobile phone manufacturing using haptic feedback for precise positioning. Pan’s work consistently demonstrates a commitment to solving real-world challenges—from agriculture to factory floors—by integrating perception, control, and learning into robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Nonrigid point matching of Chinese characters for robot writing11 citations · 2017
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