Kouhei Sekiguchi
RIKEN Center for Advanced Intelligence Project, Kyoto University
Papers
4
Total Citations
34
H-Index
4
About
Kouhei Sekiguchi is a leading researcher in robot audition, advancing how robots perceive and interact with humans through sound. His work focuses on audio-visual SLAM, cooperative sound source separation, and distributed microphone arrays for human-robot interaction. Sekiguchi’s major contributions include developing the first audio-visual SLAM framework that integrates human pose and acoustic speech to enable robots to track, map, and interact with people in indoor environments (2019, 12 citations). He also pioneered online SLAM for multiple moving sound sources and asynchronous microphone arrays (2016, 12 citations), allowing multiple robots to collaboratively localize sound sources while synchronizing their sensors. His research on optimizing the layout of cooperative distributed microphone arrays (2017, 5 citations; 2015, 5 citations) demonstrates how mobile robots can autonomously reposition themselves to improve source separation performance. These innovations have significant implications for creating more natural human-robot interaction in real-world settings. Sekiguchi’s work is foundational for the next generation of socially aware robots that can hear, see, and collaborate with humans.
Research Focus
Key Achievements
Top Papers
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