Papers
27
Total Citations
283
H-Index
9
About
Cheng-Jian Lin is a leading figure in intelligent robotics and computational intelligence, whose work has fundamentally advanced autonomous navigation in dynamic and unknown environments. His research centers on developing sophisticated control systems that fuse fuzzy logic, neural networks, and nature-inspired optimization algorithms to solve complex mobile robot challenges, including path planning, wall-following, and cooperative load-carrying. Lin’s most influential contribution is his 2009 paper on a new potential field method for mobile robot path planning in dynamic environments, which has garnered 62 citations and remains a foundational reference in the field. He has pioneered the use of interval type-2 fuzzy controllers and neural fuzzy systems, enhanced by advanced metaheuristics like dynamic-group particle swarm optimization and improved differential search with reinforcement learning. His work on knowledge-based neural fuzzy controllers and sonar behavior-based fuzzy systems has demonstrated practical impact through implementations on PIONEER 3-DX robots. With over 200 total citations across his top ten papers, Lin’s research bridges theoretical innovation and real-world application, offering students and researchers a rich toolkit for designing intelligent, adaptive robotic systems capable of operating safely and efficiently in unpredictable settings.
Research Focus
Key Achievements
Top Papers
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