Papers
16
Total Citations
304
H-Index
9
About
Osamu Sugiyama’s research bridges human-robot interaction and acoustic scene analysis, with a focus on enabling robots to communicate naturally and perceive their environments. His pioneering work on deictic communication—how robots use gestures and verbal cues like “this” and “that” to draw attention—led to a three-layer attention-drawing model that allows humanoid robots to both generate and recognize pointing behaviors. This foundational contribution, detailed in papers with over 70 and 44 citations, has shaped how robots engage in intuitive, humanlike conversation. More recently, Sugiyama has advanced robot audition in challenging real-world settings. He developed a microphone-array-embedded UAV for search and rescue, enabling sound source localization and enhancement from drones—a system cited over 50 times. He also created semi-automatic bird song analysis tools, such as the HARK-Bird-Box, which integrate spatial cues for localization, separation, and identification, supporting wildlife research. His work on audio-visual scene understanding for cooking support robots further demonstrates his commitment to multimodal perception. With a career spanning robotics, acoustics, and ethology, Sugiyama’s innovations have practical impact in disaster response and ecological monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of microphone-array-embedded UAV for search and rescue task53 citations · 2017
- 3Natural deictic communication with humanoid robots44 citations · 2007
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- 7HARK-Bird-Box: A Portable Real-time Bird Song Scene Analysis System11 citations · 2018
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- 9Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model10 citations · 2017
- 10