Wei‐Ming Lee
Papers
1
Total Citations
2
H-Index
1
About
Wei-Ming Lee is a robotics researcher whose work centers on intelligent control systems for mobile robots, particularly those operating under complex, nonholonomic constraints. His most notable contribution is the development of a hybrid control strategy that fuses fuzzy logic control with sliding mode theory, a method he introduced to stabilize nonholonomic mobile robots. By integrating genetic algorithms (GAs) to optimize the scaling factors of the fuzzy logic controller, Lee significantly enhanced tracking performance, addressing a key challenge in autonomous navigation. Though his seminal 2002 paper has garnered 2 citations, its conceptual impact lies in pioneering a GA-based fuzzy sliding mode approach that balances robustness with adaptability. This work exemplifies how computational intelligence can solve nonlinear control problems in robotics. Lee’s research remains relevant for engineers and students exploring advanced control techniques for wheeled robots, offering a practical framework for achieving stable, precise motion in constrained environments.
Research Focus
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Top Papers
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