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Autores principales: Cheng, Jingde, Notomista, Gennaro
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2506.00326
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author Cheng, Jingde
Notomista, Gennaro
author_facet Cheng, Jingde
Notomista, Gennaro
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_00326
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Music-driven Robot Swarm Painting
Cheng, Jingde
Notomista, Gennaro
Robotics
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.
title Music-driven Robot Swarm Painting
topic Robotics
url https://arxiv.org/abs/2506.00326