{"title":"Single file motion of robot swarms","authors":"Laciel Alonso-Llanes, Angel Garcimartín, Iker Zuriguel","doi":"arxiv-2403.08683","DOIUrl":null,"url":null,"abstract":"We present experimental results on the single file motion of a group of\nrobots interacting with each other through position sensors. We successfully\nreplicate the fundamental diagram typical of these systems, with a transition\nfrom free flow to congested traffic as the density of the system increases. In\nthe latter scenario we also observe the characteristic stop-and-go waves. The\nunique advantages of this novel system, such as experimental stability and\nrepeatability, allow for extended experimental runs, facilitating a\ncomprehensive statistical analysis of the global dynamics. Above a certain\ndensity, we observe a divergence of the average jam duration and the average\nnumber of robots involved in it. This discovery enables us to precisely\nidentify another transition: from congested intermittent flow (for intermediate\ndensities) to a totally congested scenario for high densities. Beyond this\nfinding, the present work demonstrates the suitability of robot swarms to model\ncomplex behaviors in many particle systems.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.08683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present experimental results on the single file motion of a group of
robots interacting with each other through position sensors. We successfully
replicate the fundamental diagram typical of these systems, with a transition
from free flow to congested traffic as the density of the system increases. In
the latter scenario we also observe the characteristic stop-and-go waves. The
unique advantages of this novel system, such as experimental stability and
repeatability, allow for extended experimental runs, facilitating a
comprehensive statistical analysis of the global dynamics. Above a certain
density, we observe a divergence of the average jam duration and the average
number of robots involved in it. This discovery enables us to precisely
identify another transition: from congested intermittent flow (for intermediate
densities) to a totally congested scenario for high densities. Beyond this
finding, the present work demonstrates the suitability of robot swarms to model
complex behaviors in many particle systems.