Byong Won Ahn

Papers

Total Citations

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About

Byong Won Ahn’s research centers on the intersection of robotics, ubiquitous sensing, and intelligent environments, with a particular focus on enabling service robots to autonomously track everyday objects in indoor settings. His major contribution lies in developing a novel, multi-component object tracking system that integrates an intelligent cabinet, a floor sensing network, and a centralized data management framework. This system allows a robot to classify an object’s location into three key zones—on or inside furniture, on the floor, or in hand—thereby overcoming a critical challenge for domestic and service robots: knowing where things are in cluttered, dynamic spaces. His foundational 2010 paper on this system has garnered 10 citations, while a closely related follow-up work has received 2 citations, reflecting early interest from researchers in robotics and ambient intelligence. Ahn’s work is notable for its practical, low-cost approach to a problem that remains central to autonomous manipulation and human-robot interaction. By bridging sensor fusion and robotic perception, he has laid groundwork for smarter, more autonomous home assistants.