Hong Kyu Lee

Korea University of Technology and Education

Papers

Total Citations

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About

Hong Kyu Lee is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent navigation systems and soft computing techniques. His work centers on developing robust solutions for mobile robots operating in complex, unknown environments — a challenge at the heart of modern robotics research. Lee's most significant contributions lie in the application of fuzzy logic controllers and genetic algorithms to mobile robot navigation. His 2015 paper on optimizing fuzzy controllers through genetic algorithms — his most cited work with 19 citations — demonstrated how evolutionary computation could enhance a robot's ability to navigate collision-free paths efficiently toward goal positions using only proximity sensor data. This work established a compelling framework for combining biologically inspired optimization with fuzzy inference systems. Complementing this, Lee explored autonomous single-robot and multi-robot navigation in entirely unknown indoor environments, showing how proximity sensors alone can enable sophisticated spatial reasoning. His research on multiple mobile robot systems further extended these principles to collaborative navigation scenarios, addressing the added complexity of coordinating several autonomous agents simultaneously. Though early in citation accumulation, Lee's concentrated body of work from 2015 represents a cohesive and methodologically rigorous contribution to intelligent robotics, offering practical pathways for deploying adaptive, sensor-driven navigation in real-world environments.