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 piano sonata


Music-driven Robot Swarm Painting

Cheng, Jingde, Notomista, Gennaro

arXiv.org Artificial Intelligence

-- This paper proposes a novel control framework for robotic swarms capable of turning a musical input into a painting. The approach connects the two artistic domains, music and painting, leveraging their respective connections to fundamental emotions. The robotic units of the swarm are controlled in a coordinated fashion using a heterogeneous coverage policy to control the motion of the robots which continuously release traces of color in the environment. The results of extensive simulations performed starting from different musical inputs and with different color equipments are reported. Finally, the proposed framework has been implemented on real robots equipped with LED lights and capable of light-painting.

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Modelling Complexity in Musical Rhythm

Liou, Cheng-Yuan, Wu, Tai-Hei, Lee, Chia-Ying

arXiv.org Artificial Intelligence

It models the structure as an automata and derives its complexity. It also solves the complexity for the L-system. This complexity can resolve the similarity between trees. This complexity serves as a measure of psychological complexity for rhythms.