Papers
79
Total Citations
1,094
H-Index
18
About
Seiji Yamada is a pioneering researcher in human-robot interaction (HRI), with particular expertise in robot expressiveness, multimodal communication, and adaptive robotic behavior. His work spans two decades of innovation, beginning with foundational contributions to multi-robot coordination — notably his widely cited research on adaptive action selection for box-pushing robots that required no explicit inter-robot communication (87 citations), demonstrating elegant solutions to complex cooperative tasks. Yamada has made especially significant contributions to the challenge of enabling robots to convey internal states and emotions through non-verbal channels. His landmark 2017 paper on expressing emotions through color, sound, and vibration in appearance-constrained robots (149 citations) addressed a critical practical limitation in deployed social robotics. Complementing this, his development of "Artificial Subtle Expressions" — intuitive audio-visual cues signaling a robot's internal states — and bioluminescence-inspired expressive lighting have opened creative new design paradigms for robot communication. His research consistently bridges engineering and psychology, examining how user expectations shape robot perception (104 citations) and how agent self-disclosure fosters human empathy. With over 500 cumulative citations, Yamada's body of work has profoundly shaped how researchers approach natural, emotionally resonant human-robot communication.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Artificial subtle expressions43 citations · 2010
- 5Bioluminescence-Inspired Human-Robot Interaction39 citations · 2018
- 6
- 7Interactive classifier system for real robot learning31 citations · 2002
- 8
- 9Influence of agent’s self-disclosure on human empathy26 citations · 2023
- 10