Papers
1
Total Citations
7
H-Index
1
About
Ji Su-young is a pioneering researcher in human-robot interaction, with a primary focus on sound source localization and auditory perception for robotic systems. Her most cited work, "The impulse sound source tracking using Kalman filter and the cross-correlation" (2006, 7 citations), introduced a novel weighted Kalman filter that leverages cross-correlation values based on time difference of arrival (TDOA) measurements. This contribution significantly advanced the ability of robots to track impulse sounds in real-time, enabling more natural and intuitive interactions between humans and machines. By integrating probabilistic filtering with acoustic signal processing, Su-young's research laid foundational groundwork for robots to perceive and respond to auditory cues, enhancing their capacity for autonomous navigation and social engagement. Her work underscores the importance of making robotic movements feel natural and responsive, a key challenge in the field. Though her citation count is modest, the technical elegance and practical relevance of her approach have influenced subsequent studies in robot audition and sensor fusion. Su-young's research remains a valuable reference for engineers and scientists developing interactive robotic systems that rely on sound source tracking for seamless human-robot collaboration.
Research Focus
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Top Papers
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