Y. Hasegawa
Papers
6
Total Citations
190
H-Index
6
About
Y. Hasegawa is a pioneering researcher in robot audition, whose work has fundamentally advanced how robots perceive and interact with sound in real-world environments. With over 190 citations across their most influential publications, Hasegawa’s core contributions span robust sound source tracking, auditory scene analysis, and musical human-robot interaction. Their landmark 2006 paper on integrating room and robot microphone arrays for multi-source tracking (47 citations) established a framework that allows robots to localize speech, music, and environmental sounds simultaneously—a critical capability for autonomous operation in daily settings. Hasegawa also developed a two-layer behavior and dialogue planning model (43 citations) that enables conversational service robots to manage complex interactions by integrating intention recognition with information delivery. Notably, their work on beat-tracking robots that synchronize steps, scat, and sing to musical rhythms (33 citations) represents a creative leap in making humanoids engaging companions. By advancing Geometric Source Separation for dynamic noise adaptation (11 citations), Hasegawa has ensured robots can hear clearly even amidst their own mechanical sounds, paving the way for truly responsive and socially aware machines.
Research Focus
Key Achievements
Top Papers
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- 5A beat-tracking robot for human-robot interaction and its evaluation20 citations · 2008
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