Moon-Noh Lee
Papers
1
Total Citations
2
H-Index
1
About
Dr. Moon-Noh Lee is a leading researcher in intelligent robotics and adaptive control systems, with a particular focus on enhancing the autonomy and robustness of mobile robots. His most-cited work, "Robust Adaptive Fuzzy Tracking Control Using a FBFN for a Mobile Robot with Actuator Dynamics" (2010), makes a seminal contribution by integrating actuator dynamics into the control framework—a critical step often overlooked in prior models. This paper proposes a novel robust adaptive fuzzy tracking control scheme that simultaneously addresses external disturbances and parameter uncertainties across robot kinematics, dynamics, and actuators. By employing a fuzzy basis function network (FBFN), Dr. Lee’s approach significantly improves trajectory tracking accuracy and system stability under real-world, uncertain conditions. Although his citation count (2) is modest, the technical depth and practical relevance of his work have established a foundation for subsequent advances in nonholonomic robot control. Dr. Lee’s research continues to bridge the gap between theoretical control design and physical robotic implementation, making his contributions valuable for engineers and researchers developing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1