Haiyong Chen
Papers
11
Total Citations
126
H-Index
7
About
Haiyong Chen is a leading researcher in intelligent robotics and visual servoing, with a primary focus on advancing welding and manipulation automation. His work centers on developing robust visual control systems that enable robots to perceive and interact with complex, dynamic environments—particularly in precision welding tasks. Chen’s most cited paper, “A robust visual servo control system for narrow seam double head welding robot” (40 citations), exemplifies his contributions to real-time seam tracking and positioning. He has also pioneered methods for decoupling visual features in three-dimensional V-type seams and introduced an indirect iterative learning control strategy to handle non-Gaussian disturbances in robotic manipulators. More recently, Chen has explored lightweight design optimization for wall-climbing robots and semantic VSLAM in dynamic scenes, integrating deep learning to improve mapping accuracy. His work on predictive image-based visual servoing and macro-micro robot coordination further demonstrates his impact on autonomous manufacturing. With a career spanning over a decade and a growing citation record, Chen continues to shape the future of intelligent robotic systems for industrial and surgical applications.
Research Focus
Key Achievements
Top Papers
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- 5VSLAM Optimization Method in Dynamic Scenes Based on YOLO-Fastest9 citations · 2023
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- 8Three Dimension Curve Welding Seam Modeling for Seam Tracking7 citations · 2008
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