About

Kohei Ogawa is a pioneering researcher in human-robot interaction, specializing in android robotics, teleoperation, and the deployment of humanoid robots in real-world social contexts. His work has significantly advanced our understanding of how humans perceive and interact with highly realistic robotic systems, accumulating over 500 citations across his most influential publications. Ogawa's early contributions include landmark investigations into the "uncanny valley" phenomenon using the Geminoid HI-1 android, revealing that fewer visitors than expected reported uncanny responses during real-world interactions. His research on the Telenoid robot explored how both young and elderly users naturally engage with minimalist android forms, while his studies on teleoperated androids demonstrated their potential as communication media in dementia care settings. He has also examined androids as commercial salespeople and hotel service agents, pushing the boundaries of robot utility in everyday environments. Beyond functional applications, Ogawa has made creative contributions through android theatre productions like *Sayonara*, using performance as a laboratory for developing convincingly human-like robot behavior. His work on robot-assisted language learning further demonstrates his interdisciplinary reach, showing measurable improvements in adult English-speaking skills. Together, these contributions establish Ogawa as a central figure in socially integrated robotics research.

Research Focus

Key Achievements

19
H-Index
53
Papers
1,057
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Exploring the Natural Reaction of Young and Aged Person with Telenoid in a Real World
103 citations · 2011
📈 Most Prolific Year: 2018 (10 Papers)
🤝 Key Collaborators: 73
🏛 Institutions: Toneyama National Hospital, Future University Hakodate, The University of Osaka, Advanced Telecommunications Research Institute International, Nagoya University, Panasonic (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago