Papers
44
Total Citations
1,332
H-Index
15
About
Zhun Fan is a prolific researcher whose work spans evolutionary computation, mobile robotics, and intelligent systems engineering. He is perhaps best known for his contributions to constrained multi-objective optimization, particularly his highly influential epsilon constraint-handling method integrated with the MOEA/D framework for solving problems with large infeasible regions — a paper that has accumulated over 415 citations and stands as a landmark contribution to the evolutionary algorithm community. His robotics research is equally impressive, encompassing path planning algorithms, Mecanum-wheeled mobile robot control, multi-robot formation systems, and practical hospital service robotics, with his PQ-RRT* path planning work attracting over 264 citations. Fan has also made meaningful strides in applied computer vision, developing lightweight deep learning architectures for automated pavement crack detection and advancing swarm robotics through genetic programming. His early work on hospital transportation automation and multi-floor building mapping demonstrated a strong commitment to real-world deployment of robotic systems. More recently, Fan has explored modular design automation for intelligent robots, reflecting a broadening research vision. With thousands of citations across diverse domains, his work bridges theoretical optimization and practical robotics, making him a valuable figure for students and researchers in autonomous systems and computational intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2PQ-RRT*: An improved path planning algorithm for mobile robots264 citations · 2020
- 3A lightweight encoder–decoder network for automatic pavement crack detection144 citations · 2023
- 4Service robots for hospitals: A case study of transportation tasks in a hospital117 citations · 2009
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- 10Mapping of multi-floor buildings: A barometric approach19 citations · 2011