Papers
3
Total Citations
28
H-Index
3
About
T. Shiratori is a pioneering researcher in humanoid robotics, specializing in the intersection of motion synthesis, style imitation, and human-robot interaction. Their work centers on enabling robots to perceive, learn, and replicate nuanced human movements—particularly in dance and expressive motion—bridging the gap between mechanical precision and natural, stylistic performance. Shiratori’s most cited paper (17 citations) introduces a humanoid robot capable of extracting and imitating person-specific motion “style” based on a task model, a foundational contribution to making entertainment robots more lifelike and context-aware. They also advanced temporal scaling techniques for dancing humanoid robots (7 citations), analyzing how dancers adapt leg motion to varying musical tempos, and developed robust methods for detecting dance motion structure using body components and turning motions (4 citations), with applications in folk dance preservation and education. Though citation counts are modest, Shiratori’s work is notable for its practical focus on real-world robot performance and cultural dance analysis, offering key insights for researchers in robotics, animation, and human motion understanding. Their achievements highlight a commitment to making robots not just functional, but expressive partners in artistic and social settings.
Research Focus
Key Achievements
Top Papers
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