Research on Music Adaptive Method Based on Dance Robots

• Main Authors: He Suli, Liu Min, Dong Liguo
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_01066.pdf

Music adaptive method, one of the important directions of dance robot research, will improve the robot's intelligence and adaptive ability, thereby greatly enriching people's growing spiritual and cultural life. From the current point of view, an overly complex adaptive method used, a large amount of computer resources will be encroached on, and the dance robot system will freeze or even crash. The dance robot is a kind of embedded device. Under the premise of saving system resources, how to make the robot do different actions according to different music and how to make it produce movements in step with the music will become a hot topic in the research of robot adaptive methods. This paper proposes a dance robot adaptive method based on music analysis. After the music signal is preprocessed, a reasonable threshold range is set to obtain music features. Through the feature and coordinate transformation, the action duration is obtained, alternative actions are selected, and action frequency is set to achieve the coordination of amplitude change and action switching. Experiments have shown that with this method used on a dance robot, the system runs smoothly featuring coordinated movement, hence a better adaptive effect.