About

Takaaki Kuratate is a leading researcher in human-robot interaction, specializing in the development of lifelike, expressive robotic heads for communication studies. His major contributions center on the creation of the "Mask-Bot" series—a pioneering line of retro-projected, animated robotic heads that can dynamically alter their facial appearance on-the-fly. This innovation allows for rapid customization of a robot's face using 3D shape displays and texture images, enabling researchers to study how factors like gender, realism, and visual cues influence human perception and interaction. His work, such as the highly cited "Mask-Bot 2i" (16 citations) and the foundational "Mask-bot" paper (13 citations), has advanced the field by demonstrating that task constraints and robot realism significantly affect user engagement. Kuratate’s achievements include developing an integrated multi-modal communication face that combines speech, sound localization, and facial animation, and exploring gender identification bias through texture images. His research provides critical insights for designing more effective and socially intuitive robotic interfaces, making him a key figure in shaping the future of human-robot communication.

Research Focus

Key Achievements

5
H-Index
7
Papers
62
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
“Mask-Bot 2i”: An active customisable robotic head with interchangeable face
16 citations · 2012
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Fraunhofer Institute for Cognitive Systems, Research Organization of Information and Systems, Technical University of Munich, Institut des Sciences Cognitives

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago