Ho Joo Lee

Agency for Defense Development, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Ho Joo Lee is a researcher whose work lies at the intersection of robotics, sensor networks, and intelligent path planning. His key contributions focus on enhancing autonomous navigation through innovative sensor deployment and algorithmic optimization. Notably, Lee pioneered the use of differential evolution for designing RFID sensor networks to enable precise indoor mobile robot localization, a method that has garnered 19 citations for its practical approach to evolutionary optimization in robotics. In outdoor environments, Lee advanced global path planning by modifying the classic A* algorithm to incorporate risk and velocity maps, addressing the critical challenge of generating safe and efficient routes in dynamic terrains. While this work has received 2 citations, it demonstrates his foresight in adapting foundational algorithms for real-world constraints. Lee’s research is characterized by a pragmatic blend of evolutionary computation and classical robotics, offering scalable solutions for autonomous systems. His contributions are particularly relevant for students and engineers exploring sensor-based localization and adaptive navigation, providing a bridge between theoretical optimization and applied robotics.