Yoon Seob Lim

Korea Institute of Science and Technology

Papers

Total Citations

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About

Yoon Seob Lim is a researcher whose work lies at the intersection of robotics, auditory perception, and human-robot interaction. His primary research focus is on sound source localization—the ability of a robot to determine where a sound is coming from—a critical capability for making robots more responsive and intuitive in real-world environments. Lim’s most-cited paper, “Probabilistic sound source localization” (2007, 17 citations), introduced a probabilistic approach to estimating sound direction using Time Delay of Arrival (TDOA) between microphones, addressing the inherent uncertainty in cross-correlation methods. He further advanced this work through DSP implementations, as seen in his papers on gain control (2007, 9 citations) and probabilistic localization (2008, 7 citations), demonstrating how these algorithms could be efficiently deployed on embedded hardware for service robots developed at the Korea Institute of Science and Technology (KIST). Lim also explored multi-modal tracking, combining audio and video data in a particle filter framework for single speaker tracking (2007, 3 citations), enhancing robot reliability during interaction. His contributions are foundational for building robots that can hear, locate, and engage with humans naturally.