Papers
35
Total Citations
357
H-Index
11
About
Katsutoshi Itoyama is a multidisciplinary robotics and audio signal processing researcher whose work bridges acoustic sensing, robot navigation, and intelligent perception systems. His research spans three interconnected domains: continuum and snake robots for search and rescue, sound-based localization and mapping, and speech and audio enhancement for human-robot interaction. Itoyama has made significant contributions to disaster robotics, developing continuum robots equipped with distributed sensors for search and rescue missions (45 citations) and advancing the ImPACT-TRC serpentine robot platform for urban disaster response. A particularly innovative thread in his work is the fusion of acoustic sensing with robot navigation — demonstrated through sound-based localization for in-pipe snake robots (41 citations) and microphone array-based posture estimation for hose-shaped rescue robots (16 citations). On the signal processing side, his Bayesian low-rank multichannel speech enhancement framework (25 citations) and SLAM-based calibration of asynchronous microphone arrays (25 citations) reflect a sophisticated theoretical grounding. His audio-visual beat tracking system for dancing robots further illustrates his commitment to expressive, human-centered robotics. With over 220 cumulative citations across diverse venues, Itoyama's work represents a compelling integration of robotics, acoustics, and machine learning, offering practical solutions to real-world challenges in rescue operations and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sound-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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- 8Sound event aware environmental sound segmentation with Mask U-Net14 citations · 2020
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