JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Experiments of Motion Generation for Humanoid Robots Using Deep Generative Models
Satoshi HIKIDA
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2019 Volume 2019 Issue AGI-012 Pages 03-

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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.

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