Hyun-Don Kim
Papers
8
Total Citations
45
H-Index
5
About
Hyun-Don Kim is a leading researcher in the field of human-robot interaction, with a primary focus on auditory and visual integration for robotic perception. His work centers on enabling humanoid robots to localize, track, and interact with humans in complex, noisy, daily-life environments. Kim’s major contributions include pioneering probabilistic methods for combining sound source localization with face tracking, using techniques like the EM algorithm and particle filters to achieve robust, real-time performance. His most cited paper, "Auditory and visual integration based localization and tracking of humans in daily-life environments" (2007, 16 citations), established a foundational framework for multi-modal talker tracking. A key innovation is his development of binaural active audition, where robots use motion to overcome the ambiguity of two-microphone setups, allowing speech localization over the entire azimuth range—a critical advancement for humanoid platforms. Kim’s work on two-channel-based voice activity detection (2008) further improved speech recognition in noisy home environments. With over 45 citations across his publications, his research has significantly advanced the practical deployment of socially aware robots capable of natural, responsive interaction.
Research Focus
Key Achievements
Top Papers
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- 6Binaural Active Audition for Humanoid Robots3 citations · 2008
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