Papers
29
Total Citations
287
H-Index
10
About
Yoichi Yamazaki is a prominent researcher specializing in human-robot interaction, affective computing, and fuzzy logic-based systems for social robotics. His work centers on enabling robots to perceive, interpret, and express human emotions in natural, intuitive ways, bridging the gap between computational intelligence and everyday human communication. Yamazaki's most influential contributions include the development of multimodal emotion recognition systems that fuse gestural and speech data, earning 31 citations, and the groundbreaking concept of "Fuzzy Atmosfield" — a three-dimensional framework representing communication atmosphere across multiple humans and robots, cited 28 times. His fuzzy inference-based mentality expression system for eye robots, which models emotional states within a pleasure-arousal space, has attracted 25–26 citations and remains a foundational reference in expressive robotics. He has also advanced multi-robot behavioral adaptation using friend-Q learning, enabling robot groups to dynamically respond to social contexts. More recently, Yamazaki extended his research to elderly care, proposing AHOBO, a frailty care robot addressing both physical and psychological support needs. Across his career, his consistent application of soft computing — particularly fuzzy logic — to humanize robotic behavior has made him a notable figure in socially intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Soft-computing-based emotional expression mechanism for game of computer Go15 citations · 2012
- 8
- 9
- 10