Papers
12
Total Citations
138
H-Index
7
About
Kotaro Hoshiba is a leading researcher at the intersection of robot audition, acoustic signal processing, and disaster robotics. His work focuses on enabling machines—particularly unmanned aerial vehicles (UAVs) and drones—to "hear" and interpret their environments, a capability critical for search and rescue missions in visually obstructed or low-light disaster zones. Hoshiba’s most impactful contribution is the development of microphone-array-embedded UAVs for outdoor sound source localization, a system that can pinpoint the location of a person in need of assistance amidst chaotic acoustic scenes (53 citations). He has also pioneered real-time bird song scene analysis with the HARK-Bird-Box system (11 citations), demonstrating the versatility of his spatial-cue-based probabilistic models for animal behavior studies. Beyond localization, his work encompasses sound source enhancement, robust communication for remote robot operation, and signal restoration using deep learning (Bi-directional LSTM). With over 130 total citations across his top papers, Hoshiba’s research is foundational to the emerging field of drone audition, and his recent work on swarm active audition systems (2024) promises to further advance autonomous, multi-agent search and rescue capabilities.
Research Focus
Key Achievements
Top Papers
- 1Development of microphone-array-embedded UAV for search and rescue task53 citations · 2017
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- 4HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System11 citations · 2018
- 5Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model10 citations · 2017
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