Ken Fukuda

National Institute of Advanced Industrial Science and Technology

Papers

Total Citations

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About

Ken Fukuda is a leading researcher at the intersection of artificial intelligence, robotics, and human-machine symbiosis. His work primarily focuses on enabling machines—from software agents to physical robots—to understand and interact with the complex, contextual world of human daily life. Fukuda’s major contribution lies in synthesizing event-centric knowledge graphs of daily activities, a groundbreaking approach that uses virtual spaces to model and reason about real-world human behavior. This work, detailed in his 2023 highly cited paper (14 citations), provides a foundational framework for creating AI that can support decision-making in home environments. Beyond knowledge representation, Fukuda explores biomimetic control systems, statistically analyzing how robots can emulate human-like behavior for tasks such as stick-balancing (2008, 4 citations). Most recently, he has ventured into the critical area of human-robot emotional interaction, studying the use of "manpu" (manga-style symbols) for robotic emotional expression (2024, 2 citations). This diverse portfolio—spanning cognitive architectures, control theory, and affective computing—positions Fukuda as a key innovator in building a truly symbiotic society where machines are not just tools, but perceptive and emotionally resonant partners.