Haihong Pan

Guangxi University

Papers

16

Total Citations

333

H-Index

6

About

Dr. Haihong Pan is a leading researcher in industrial robotics, specializing in path planning, positioning accuracy, and intelligent control for welding and manufacturing applications. Their most influential work, the improved A* algorithm for industrial robot path planning (252 citations), dramatically enhances success rates and path efficiency, setting a new standard for autonomous navigation in complex environments. Dr. Pan has also pioneered vibration suppression techniques using chaos-regression tree dynamic models, and developed innovative solutions for inverse kinematics with offset wrists, significantly advancing robot manipulator dexterity. Their recent contributions include a novel binocular vision hand-eye calibration method using dual nonlinear optimization, and YOLO-CE-based 3D point cloud feature extraction for welding seam detection, pushing the boundaries of robotic perception. Dr. Pan’s work on synchronous cooperative motion control between robots and positioners for complex space curve processing, and the 8-shape trajectory weaving welding control algorithm, have practical impacts on automated welding of non-standard steel structures. Additionally, their development of a capacitive force/torque sensor for lower limb rehabilitation robots demonstrates cross-disciplinary innovation. With over 300 total citations and a consistent record of high-impact publications from 2011 to 2025, Dr. Pan continues to shape the future of intelligent robotics and manufacturing automation.

Research Focus

Key Achievements

6
H-Index
16
Papers
333
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
An improved A* algorithm for the industrial robot path planning with high success rate and short length
252 citations · 2018
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Guangxi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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