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About

Jeong-Won Pyo is a robotics researcher whose work focuses on the intersection of 3D perception, autonomous navigation, and human-robot interaction in indoor environments. His major contributions center on enabling mobile robots to operate autonomously in complex, human-centric spaces, with a particular emphasis on elevator button recognition and localization—a critical yet challenging task for multi-storey navigation. Pyo’s research addresses real-world constraints, such as limited sensor visibility and occluded objects, by integrating computer vision and active SLAM techniques. His most cited paper, a 2021 survey on 3D recognition based on sensor modalities for robotic systems (12 citations), provides a foundational overview of how autonomous robots perceive and interact with their surroundings. Other notable works include self-supervised button recognition for indoor robots (5 citations) and autonomous navigation with active SLAM for disinfecting robots (4 citations), showcasing his applied approach to robotics. Pyo’s research has direct implications for service robots in hospitals, offices, and public buildings, where reliable navigation and object recognition are essential. His work on elevator button tracking and missing button recognition (2023) further demonstrates his commitment to solving practical, real-world challenges in indoor robotics.