Tsutomu Kunitachi
Papers
4
Total Citations
31
H-Index
3
About
Tsutomu Kunitachi is a pioneering researcher in the field of human-robot interaction, with a primary focus on developing emotionally intelligent and socially adept robots. His work centers on two key areas: enabling robots to express and perceive emotions through facial expressions, and equipping humanoid robots with sophisticated, adaptive motion control. Kunitachi’s most significant contribution is his foundational work on the “Ifbot” sensibility robot, where he developed a facial control method using emotional parameters, allowing the robot to communicate its internal states and respond to external stimuli through nuanced expressions. This research, published in 2005 and 2006, has garnered over 14 citations for its core paper, establishing a basis for emotionally expressive robotics. In parallel, he advanced humanoid robot control by proposing an adaptive allocation method for basis functions in reinforcement learning, addressing the challenge of continuous, high-dimensional state spaces. His work on motion phase decision tree learning further contributed to sophisticated motion control for robots with high degrees of freedom. Kunitachi’s research remains influential for students and researchers exploring the intersection of affective computing, reinforcement learning, and humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1Face Generation Using Emotional Regions for Sensibility Robot14 citations · 2006
- 2Humanoid robot control based on reinforcement learning10 citations · 2005
- 3A Facial Control Method Using Emotional Parameters in Sensibility Robot4 citations · 2005
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