Xiaoping Fan

Central South University

Papers

12

Total Citations

124

H-Index

4

About

Dr. Xiaoping Fan is a pioneering researcher in robotics, whose work has fundamentally advanced autonomous navigation and intelligent control systems. His primary research areas encompass optimal path planning, multi-robot simultaneous localization and mapping (SLAM), and adaptive control for robotic manipulators. Dr. Fan’s most influential contribution is his development of the intensified ant colony optimization algorithm for mobile robot path planning, a seminal work that has garnered 75 citations and remains a cornerstone reference in the field. He has also made significant strides in multi-robot SLAM with a novel fast map merging algorithm, addressing critical challenges in unknown robot poses and unstable communication. His adaptive robust iterative learning control scheme for uncertain robotic systems further demonstrates his expertise in handling complex, real-world robotic dynamics. Beyond these core contributions, Dr. Fan has explored trajectory planning optimization using evolutionary programming and hybrid architecture platforms for path planning, showcasing a versatile approach to robotics. His body of work, spanning from the late 1990s to the 2010s, has established him as a key figure in developing practical, efficient solutions for both mobile robots and manipulators, with lasting impact on the field.

Research Focus

Key Achievements

4
H-Index
12
Papers
124
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Optimal path planning for mobile robots based on intensified ant colony optimization algorithm
75 citations · 2004
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Central South University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago