Jong‐Woo Han

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About

Jong-Woo Han is a leading figure in intelligent robotics, best known for his pioneering work in sensor-based perception and autonomous navigation for domestic robots. His research focuses on developing robust obstacle detection and environmental sensing systems that allow robotic vacuum cleaners and service robots to operate reliably in complex, real-world indoor environments. Han’s most influential contribution is his 2014 paper on a robust obstacle detection method, which has garnered 43 citations and directly addresses a critical limitation in conventional robotic cleaners: their inability to reliably detect thin obstacles like chair and table legs using standard ultrasonic or infrared sensors. By proposing a novel detection algorithm that overcomes these sensor blind spots, his work has significantly improved the safety and efficiency of autonomous floor-cleaning robots, influencing both academic research and practical product design. Beyond this key achievement, Han’s broader research portfolio continues to advance the field of mobile robotics, making him an important reference for engineers and researchers working on intelligent, sensor-driven autonomous systems.