Daisuke Katagami
Tokyo Institute of Technology, Tokyo Polytechnic University, Polytechnic University
Papers
15
Total Citations
115
H-Index
6
About
Daisuke Katagami is a leading researcher in interactive robotics and human-robot interaction, with a career spanning over two decades. His foundational work centers on developing fast, evolutionary learning methods for mobile robots, most notably the Interactive Classifier System (ICS), which enables robots to acquire autonomous behaviors through real-time human teaching and interaction. This core contribution, detailed in his highly cited 2002 paper (31 citations), has influenced the field of interactive evolutionary robotics. More recently, Katagami has expanded into the social and psychological dimensions of human-robot communication. His research on compliment expressions by communication robots (2020, 11 citations) and the influence of social distance in driving support agents’ utterances (2021, 11 citations) demonstrates a shift toward understanding how robots can be psychologically acceptable and emotionally engaging. He has also explored novel applications, such as using robot eye color to affect academic emotions (2019) and developing a robotic agent for the Werewolf game (2018) to study social behavior. With over 100 citations across his most-cited works, Katagami’s research bridges technical innovation in robot learning with the nuanced design of socially intelligent agents, making significant contributions to both the engineering and psychology of human-robot symbiosis.
Research Focus
Key Achievements
Top Papers
- 1Interactive classifier system for real robot learning31 citations · 2002
- 2Active teaching for an interactive learning robot21 citations · 2004
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- 5Real Robot Learning with Human Teaching9 citations · 2002
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- 8Development of Real-World Agent System for Werewolf Game4 citations · 2018
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