Experiments of Motion Generation for Humanoid Robots Using Deep Generative Models

Abstract

In recent years, humanoid robots have become more sophisticated and less expensive, and humanoid robots that download and dance human choreographed dances for a pre-determined song at a very low price It was sold. However, such a robot has a problem that it gets tired after having finished watching all the provided music. Therefore, we have devised a method that can automatically generate a dance motion using a deep generation model for new music data as well as a predetermined piece of music.