Papers
7
Total Citations
129
H-Index
5
About
Takaaki Shiratori is a pioneering researcher at the intersection of robotics, human motion analysis, and human-robot interaction. His work focuses on enabling robots to perceive and respond to human artistic expression—particularly through dance and painting. Shiratori’s major contributions include developing methods for synthesizing dance performances by analyzing human motion and musical structure, and creating sound feedback systems that allow robots to listen to music and automatically generate synchronized dance motions. His 2008 paper on dance synthesis (35 citations) and 2003 work on rhythmic motion capture (33 citations) laid the foundation for archiving and recreating traditional dance forms. Shiratori also advanced keypose-based motion integration, enabling robots to adapt their upper, middle, and lower body movements to varying music tempos without exceeding motor limits. Beyond dance, he explored robotic painting, developing visual perception and high-level planning systems that allow humanoid robots to reproduce human painting procedures. His interdisciplinary approach—combining motion capture, music information retrieval, and robotic control—has been highly influential, with his most cited works accumulating over 100 citations. Shiratori’s vision of robots that can learn to dance and paint from observation continues to inspire new directions in entertainment robotics and creative human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Synthesis of Dance Performance Based on Analyses of Human Motion and Music35 citations · 2008
- 2Rhythmic motion analysis using motion capture and musical information33 citations · 2003
- 3
- 4Humanoid Robot Painter: Visual Perception and High-Level Planning13 citations · 2007
- 5
- 6Robots that learn to dance from observation5 citations · 2008
- 7Robot painter: from object to trajectory2 citations · 2007