Papers
1
Total Citations
15
H-Index
1
About
Yusuke Sasaki is a researcher in robotics and acoustic sensing, whose work focuses on enabling robots to perceive and interact with their environments through sound. His key research areas include robot audition, sound source localization, and auditory scene mapping. Sasaki’s major contribution is the development of a system that allows a mobile robot to simultaneously map and identify multiple sound sources while in motion—a challenging problem due to noise and dynamic conditions. In his highly cited 2010 paper, he demonstrated how a robot equipped with a microphone array could localize sound directions, recognize sound types, and estimate source positions via triangulation over short time periods. This work laid the foundation for more robust auditory perception in robotics, bridging the gap between hearing and spatial awareness. With 15 citations, his research has influenced subsequent studies in robot audition and human-robot interaction. Sasaki’s achievements highlight the potential for robots to navigate and understand complex auditory environments, making his work a valuable reference for students and researchers interested in integrating hearing into autonomous systems.
Research Focus
Key Achievements
Top Papers
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