Papers
38
Total Citations
497
H-Index
14
About
Yoko Sasaki is a robotics researcher whose work spans mobile robot audition, autonomous navigation, and human-environment interaction. Best known for pioneering contributions to robotic sound processing, Sasaki developed sophisticated microphone array systems — including 32-channel concentric and spherical designs — capable of localizing and separating multiple moving sound sources in real-world environments. These foundational contributions, reflected in highly cited works such as "Multiple Sound Source Mapping for a Mobile Robot by Self-motion Triangulation" (77 citations) and "Three Ring Microphone Array for 3D Sound Localization" (54 citations), established new benchmarks for mobile robot audition in dynamic acoustic settings. Beyond audition, Sasaki has made meaningful advances in autonomous robot navigation, proposing innovative frameworks such as GOSELO for reactive neural network-based navigation and city-scale hybrid topological maps enabling robots to traverse complex urban environments. A long-term museum deployment experiment further demonstrates Sasaki's commitment to real-world validation of robotic systems operating continuously alongside humans. With contributions also extending to dual-arm construction robotics and acoustic event recognition using probabilistic models, Sasaki's research portfolio reflects a broad and impactful career at the intersection of perception, cognition, and autonomous behavior in intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Dual-Arm Construction Robot with Remote-Control Function18 citations · 2019
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- 7Spherical microphone array for spatial sound localization for a mobile robot18 citations · 2012
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- 9Daily sound recognition using Pitch-Cluster-Maps for mobile robot audition17 citations · 2009
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