Shinyo Muto

NTT (Japan), Interface (United Kingdom)

Papers

10

Total Citations

112

H-Index

5

About

Shinyo Muto’s research lies at the intersection of human-robot interaction, manufacturing automation, and networked robotic systems. His most influential work, “On Tracking of Eye for Human-Robot Interface” (33 citations), pioneers vision-based control for intuitive robot operation. Muto made foundational contributions to robot teaching and control, developing methods that convert human assembly movements into symbolic parameters for automatic robot command generation (23 citations). His contact point detection techniques, using force and velocity information to accurately estimate work contours, significantly reduced teaching effort for robotic machining tasks (13 and 9 citations). Muto also advanced networked robotics, proposing service allocation frameworks for robot platforms (20 citations) and the SCOPE remote-collaboration system, which uses a mobile robot with camera and projector to assist on-site workers (4 citations). His active information supplement platform, based on 4W (who, what, when, where) information, addresses sensor limitations by leveraging communication robots for user service delivery. With over 100 total citations across these works, Muto’s research has shaped practical approaches to robot programming, human-robot collaboration, and distributed robotic services.

Research Focus

Key Achievements

5
H-Index
10
Papers
112
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
On Tracking of Eye for Human-Robot Interface
33 citations · 2004
📈 Most Prolific Year: 2002 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: NTT (Japan), Interface (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago