Papers
2
Total Citations
42
H-Index
2
About
Moon-Su Lee is a pioneering researcher in intelligent robotics, specializing in fuzzy logic control systems and evolutionary computation for autonomous navigation. His work focuses on designing hierarchical fuzzy logic controllers that enable mobile robots to plan paths and execute motion in dynamic environments. Lee’s most influential contribution, the 2002 paper "Evolutionary programming-based fuzzy logic path planner and follower for mobile robots" (25 citations), introduced a two-level architecture: a planner that generates obstacle-avoiding paths and a motion controller that ensures smooth trajectory following. By integrating evolutionary programming to optimize fuzzy rule sets, Lee demonstrated how adaptive algorithms can enhance robot autonomy without manual tuning. His follow-up work in 2009 (17 citations) refined these methods, solidifying their practical value. Lee’s research bridges theoretical fuzzy logic with real-world robotics, offering scalable solutions for navigation in cluttered spaces. His work remains foundational for students and engineers developing intelligent, self-navigating systems, highlighting the power of combining soft computing with evolutionary optimization to achieve robust, real-time performance in autonomous robots.
Research Focus
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