Takeshi Mizumoto
Kyoto University, Honda (Japan), Kyoto College of Graduate Studies for Informatics
Papers
16
Total Citations
199
H-Index
7
About
Takeshi Mizumoto is a leading researcher in robot audition and human-robot interaction, whose work bridges the gap between how machines hear and how they can meaningfully engage with humans and music. His most significant contribution is the development of HARK, an open-source robot audition software that has become a foundational tool in the field, enabling robots to separate and localize sounds using microphone arrays—a technology cited nearly 50 times in his landmark 2017 paper. Beyond auditory processing, Mizumoto has pioneered musical robotics, creating a thereminist robot that plays the electronic instrument with remarkable precision using feedforward and feedback arm control, and developing ensemble robots that synchronize with human musicians through non-verbal cues and audio-visual beat-tracking. His work extends to practical applications, including selectable sound separation for telepresence systems and robot-audition-based interfaces for cars, as well as innovative posture estimation for hose-shaped rescue robots using microphone array localization. With over 170 citations across his top papers, Mizumoto’s research demonstrates how advanced auditory perception can enhance robot autonomy, musical collaboration, and real-world utility, making him a key figure in creating robots that truly listen.
Research Focus
Key Achievements
Top Papers
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- 4Posture estimation of hose-shaped robot using microphone array localization16 citations · 2013
- 5A Musical Robot that Synchronizes with a Coplayer Using Non-Verbal Cues13 citations · 2012
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- 7Robot-Audition-based Human-Machine Interface for a Car7 citations · 2015
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- 9Posture estimation of hose-shaped robot by using active microphone array6 citations · 2015
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