Jiann Der Lee

Chang Gung University of Science and Technology, National Cheng Kung University

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About

Jiann Der Lee is a pioneering researcher in intelligent robotics and computational intelligence, with a primary focus on robot path planning and adaptive control systems. His most influential work, "Genetic-based adaptive fuzzy controller for robot path planning" (2002, 19 citations), introduces a novel methodology that combines genetic algorithms with fuzzy logic to enable robots to navigate safely and smoothly from start to goal locations. This approach automates the generation and tuning of fuzzy rule sets, significantly advancing autonomous navigation in complex environments. Lee’s earlier contribution, "A fuzzy potential approach with the cache genetic learning algorithm for robot path planning" (2002, 2 citations), builds on his 1994 foundational work by integrating potential field methods with a navigating fuzzy logic controller (NFLC) to produce collision-free paths. Notably, his research addresses the critical challenge of local minima entrapment through a fuzzy tracking controller (FTC), allowing robots to escape dead ends. With a career dedicated to bridging genetic learning and fuzzy control, Lee’s work has laid the groundwork for adaptive robotics, influencing subsequent developments in autonomous systems and intelligent control. His contributions remain essential reading for students and researchers exploring evolutionary computation and fuzzy logic in robotics.