Hidenori Itoh
Nagoya Institute of Technology, Daido University, Chukyo University
Papers
32
Total Citations
294
H-Index
9
About
Hidenori Itoh is a pioneering researcher in human-robot interaction, with a particular focus on emotional expression, affective computing, and social robotics. His work centers on enabling robots to communicate naturally and expressively with humans through facial expressions, body motion, and personality modeling. Itoh is perhaps best known for his foundational contributions to the "Ifbot" project, a sensitivity communication robot capable of generating emotive facial expressions mapped to an emotional space — work that has garnered over 53 citations and established a benchmark in expressive robotics. Building on this, he advanced the field by developing dynamic facial expression models using Simple Recurrent Networks, allowing robots to engage in genuinely bidirectional, context-sensitive interactions rather than relying on fixed, predefined expressions. A distinctive thread in Itoh's research is his application of Laban Movement Analysis — a framework borrowed from dance and movement theory — to robot motion rendering, enabling humanoid robots to convey emotions like pleasure, anger, and sadness through physical movement. His work on mood-transition-based personality modeling further demonstrates his commitment to creating robots with coherent, lifelike individuality. With over 200 cumulative citations, Itoh's contributions represent a significant bridge between robotics engineering and the psychology of human communication.
Research Focus
Key Achievements
Top Papers
- 1EMOTIVE FACIAL EXPRESSIONS OF SENSITIVITY COMMUNICATION ROBOT "IFBOT"53 citations · 2005
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- 5Mood-transition-based emotion generation model for the robot's personality18 citations · 2009
- 6Face Generation Using Emotional Regions for Sensibility Robot14 citations · 2006
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- 9A Dynamic Allocation Method of Basis Functions in Reinforcement Learning9 citations · 2004
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