Open AccessOptimizing self-rotating bristle-bots for active matter implementation with robotic swarms
Author(s) -
Vadim Porvatov,
Alina D. Rozenblit,
Alexey A. Dmitriev,
Oleg I. Burmistrov,
Dafina Petrova,
Georgy Gritsenko,
Ekaterina Puhtina,
Egor Kretov,
Dmitry Filonov,
Anton Souslov,
Nikita A. Olekhno
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2086/1/012202
Subject(s) - bristle , active matter , microscale chemistry , swarm behaviour , scalability , focus (optics) , computer science , robot , swarm robotics , range (aeronautics) , simulation , physics , artificial intelligence , engineering , brush , mechanical engineering , aerospace engineering , operating system , mathematics , optics , biology , mathematics education , microbiology and biotechnology
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.