Keito Sugawara

Unsupervised Human Motion Segmentation Based on Characteristic Force Signals of Contact Events

Humans perform complex tasks involving force interactions daily. Learning from demonstration, a method for transferring such human manipulation skills to robots, requires techniques for segmenting the demonstrations into movement primitives. Therefore, we propose an unsupervised motion segmentation