Papers
25
Total Citations
327
H-Index
11
About
Yoshiaki Bando is a robotics and signal processing researcher whose work sits at the compelling intersection of acoustic sensing, robot navigation, and search and rescue technology. His research has made significant contributions to enabling robots to perceive and navigate complex, GPS-denied environments using sound — a particularly vital capability in disaster response scenarios. Bando's most influential work includes pioneering microphone-array systems embedded in UAVs for outdoor sound source localization (53 citations) and developing continuum robots enhanced with distributed sensors for disaster site exploration (45 citations). His sound-based localization methods for in-pipe snake robots (41 citations) demonstrate a creative approach to autonomous navigation where conventional positioning systems fail entirely. Beyond robotics, Bando has advanced multichannel speech enhancement through Bayesian low-rank decomposition techniques (25 citations), addressing the practical challenge of intelligible communication in noisy rescue environments. His broader portfolio spans audio-visual beat tracking for entertainment robots, online SLAM for multiple acoustic sources, and thin serpentine robot platforms for urban search and rescue. With over 250 cumulative citations across these diverse contributions, Bando's research consistently bridges theoretical signal processing with real-world robotic deployment, making him a notable figure in acoustic robotics and human-robot interaction research communities.
Research Focus
Key Achievements
Top Papers
- 1Development of microphone-array-embedded UAV for search and rescue task53 citations · 2017
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- 3Sound-based online localization for an in-pipe snake robot41 citations · 2016
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- 5ImPACT-TRC Thin Serpentine Robot Platform for Urban Search and Rescue17 citations · 2019
- 6Posture estimation of hose-shaped robot using microphone array localization16 citations · 2013
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