Papers
2
Total Citations
12
H-Index
2
About
Kiyoung Park is a researcher whose work lies at the intersection of robotics, human-robot interaction (HRI), and multimodal sensing. His key research areas include robust speech recognition, audio-visual localization, and noise separation for intelligent robotic systems. Park’s major contributions focus on enabling robots to naturally and accurately perceive and approach users in complex, real-world environments. His 2009 paper on a human-robot interface using robust speech recognition and a noise separation device (6 citations) introduced a blind source separation algorithm to overcome indoor acoustic reverberations and unknown noises, significantly improving speech recognition reliability. Earlier, his 2005 work on real-time audio-visual localization (6 citations) pioneered the fusion of microphone arrays with vision cameras, allowing robots to pinpoint a user’s location through both sound and sight—a foundational step for service robots in home settings. Though his citation counts are modest, Park’s research addresses critical challenges in HRI, such as natural user approach and robust interaction under noisy conditions. His work has practical implications for domestic service robots, cleaning, and assistive technologies, making him a notable contributor to the development of more intuitive and responsive robotic systems.
Research Focus
Key Achievements
Top Papers
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