Yutaka Hatakeyama
Papers
2
Total Citations
27
H-Index
2
About
Yutaka Hatakeyama is a pioneering researcher in human-robot interaction, specializing in affective computing and non-verbal communication systems. His work focuses on developing methodologies for robots to express and generate empathy through subtle, biologically-inspired movements. Hatakeyama’s most influential contribution is the “Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space” (2008, 25 citations), which introduced a novel framework for calculating a robot’s mental state using fuzzy logic. By mapping language categories onto a pleasure-arousal space, his system enables household robots to convey complex emotional cues through eye movements, significantly advancing the field of empathetic robotics. He further extended this concept with the “Antenna Hair-Type Object for Generating Empathy” (AHOGE, 2010), a minimalist yet impactful component that uses posture-based motions to influence human perception and generate empathy in existing RT and IT systems. Hatakeyama’s work bridges the gap between computational emotion modeling and intuitive physical design, offering practical tools for creating more relatable and socially intelligent machines. His research continues to inspire new approaches in affective robotics, particularly in developing non-verbal communication channels that foster deeper human-robot bonds.
Research Focus
Key Achievements
Top Papers
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- 2