Papers
3
Total Citations
17
H-Index
2
About
Chin-Ling Lee is a leading researcher in intelligent robotics, specializing in multi-robot systems, fuzzy control, and autonomous navigation in unknown and dynamic environments. Her work addresses fundamental challenges in deploying robots that can sense, adapt, and cooperate without human intervention. Lee’s most influential contribution is the development of a sonar behavior-based fuzzy controller (BFC) for mobile robot wall-following, which enables robots to explore unknown spaces autonomously using a set of specialized sub-fuzzy controllers. This work has garnered 10 citations and remains a key reference in behavior-based robotics. She further advanced the field by integrating self-clustering algorithms with Type-2 fuzzy controllers for multi-robot deployment and navigation, allowing teams of robots to automatically determine optimal positions and navigate dynamic environments—critical for applications in logistics, agriculture, and disaster relief. Her 2020 paper on this topic has already accumulated 5 citations, reflecting growing interest in her scalable, adaptive approach. Lee’s research stands out for its practical, real-world focus, offering robust solutions for autonomous systems operating under uncertainty. Her work continues to shape the future of cooperative robotics and intelligent control.
Research Focus
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Top Papers
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