Ui-Hyun Kim

Papers

Total Citations

H-Index

About

Ui-Hyun Kim is a researcher specializing in human-robot interaction and speech signal processing, with a particular focus on developing intelligent auditory systems for humanoid robots. His most recognized contribution is a speaker localization system utilizing Time Difference of Arrival (TDOA)-based feature matrices, a technically sophisticated approach that enables robots to accurately identify and track the position of human speakers in real-world environments. Published in 2008, this work has garnered 21 citations, reflecting its meaningful influence within the robotics and signal processing communities. Kim's research addresses one of the fundamental challenges in building socially capable robots: enabling machines to perceive and respond to human speech in dynamic, noisy environments. By employing a six-microphone array configuration, his system demonstrates a practical and scalable solution to the speaker localization problem, pushing the boundaries of what humanoid robots can achieve in natural human interaction scenarios. His work sits at the intersection of acoustic signal processing, machine perception, and robotics — fields increasingly vital as conversational and assistive robots become more prevalent. For students and researchers exploring auditory scene analysis or human-robot interaction, Kim's contributions offer a valuable technical foundation and methodological reference point.