Papers
20
Total Citations
221
H-Index
9
About
Ryu Takeda is a leading researcher in robot audition, a field that gives machines the ability to hear and interpret sound in complex, real-world environments. His work focuses on enabling robots to separate overlapping sounds, track musical beats, and understand speech even while the robot itself is speaking or moving. One of his key contributions is the development of "barge-in-able" robot audition, which allows a user to speak while the robot is talking—a critical step toward natural human-robot interaction. His highly cited paper on selectable sound separation for the Texai telepresence system (38 citations) demonstrates how robot audition software like HARK can be applied to remote communication. Takeda is also known for creating robots that can synchronize their movements to music, such as a beat-tracking robot that steps, sings, and scats along to a beat using its own microphone (33 citations). His work on ICA-based blind dereverberation and echo cancellation (19 citations) further advances robot hearing in noisy, real-world settings. Through these innovations, Takeda has laid the groundwork for robots that can listen, learn, and interact with humans in dynamic acoustic environments.
Research Focus
Key Achievements
Top Papers
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- 3A beat-tracking robot for human-robot interaction and its evaluation20 citations · 2008
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- 8A Robot Singer With Music Recognition Based On Real-Time Beat Tracking.13 citations · 2008
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