Kazuya Fukuda

Tokyo Institute of Technology, Toyo Engineering (Japan)

Papers

Total Citations

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About

Kazuya Fukuda is a researcher whose work bridges human-robot interaction and embedded software engineering. His primary research areas include affective computing, fuzzy inference systems, and robotics education. Fukuda’s most notable contribution is the development of a fuzzy inference-based model for expressing robot mentality through eye movements, operating within an affinity pleasure-arousal space. This work, published in 2009 and cited 26 times, provides a framework for robots to convey emotional states, enhancing human-robot communication. Beyond theoretical contributions, Fukuda has made a significant practical impact through his involvement in the Japan Robot Software Design Contest. His papers from 2006 and 2007 (cited 9 and 5 times, respectively) analyze this competition as a platform for educating young Japanese developers in embedded software quality. These studies document how the contest—where participants design software for line-trace robots—serves as a hands-on educational tool, fostering skills in real-time control and software reliability. Through this blend of affective robotics and educational innovation, Fukuda has advanced both the expressive capabilities of robots and the practical training of future engineers.