Xiaoping Fan
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
Top Papers
- 1
- 2Adaptive robust iterative learning control for uncertain robotic systems12 citations · 2003
- 3A Fast Map Merging Algorithm in the Field of Multirobot SLAM10 citations · 2013
- 4
- 5Path Planning for Mobile Robots Based on Hybrid Architecture Platform3 citations · 2010
- 6
- 7
- 8Heuristic Search Assisted Active Localization for Mobile Robot2 citations · 2012
- 9
- 10Robotic visual servoing based on snakes2 citations · 2002