Optimizing self-rotating bristle-bots for active matter implementation with robotic swarms

Autor:	V A Porvatov, A D Rozenblit, A A Dmitriev, O I Burmistrov, D A Petrova, G Yu Gritsenko, E M Puhtina, E I Kretov, D S Filonov, A Souslov, N A Olekhno
Rok vydání:	2021
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2086:012202
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2086/1/012202
Popis:	Robotic swarms have been recently explored as a versatile and scalable alternative to traditional microscale platforms for experimental studies of active matter. These robotic setups consist of either self-propelled or self-rotating particles. In the present paper, we develop and experimentally realize a swarm of self-rotating bristle-bots suitable for a wide range of active-matter experiments. We focus on optimizing the bristle-bot design and controlling the sliding friction between individual robots.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7d88154323b70e87a685e359dd66cef8 https://doi.org/10.1088/1742-6596/2086/1/012202 Zobrazit plný text záznamu