Yun-Hyung Lee

Korea Maritime and Ocean University, Agency for Defense Development

Papers

Total Citations

H-Index

About

Yun-Hyung Lee’s research focuses on intelligent control systems and autonomous navigation for mobile and unmanned robots, with a particular emphasis on fuzzy logic-based decision-making. His major contributions include developing a fuzzy rule-based trajectory control method for mobile robots, where he employed a Mamdani-type fuzzy controller that uses angle and angular rate as inputs to infer steering commands. Notably, he proposed a novel scaling factor adjustment technique optimized via real-coded genetic algorithms, enhancing controller performance. In the domain of unmanned robot navigation, Lee introduced a framework for traversability analysis that integrates terrain map data with regional slope and roughness assessments across four heading directions, enabling robust path planning and speed estimation. His work on fuzzy-based speed estimation further advanced autonomous navigation by dynamically adapting robot speed to terrain conditions. While his most cited papers have accumulated modest citation counts (5, 5, and 3 citations respectively), they represent foundational contributions to fuzzy control and terrain-aware navigation, demonstrating practical applications in robotics. Lee’s research bridges theoretical fuzzy logic with real-world robotic systems, offering valuable insights for students and researchers in autonomous systems, control engineering, and field robotics.