Single file motion of robot swarms

Laciel Alonso-Llanes, Angel Garcimartín, Iker Zuriguel
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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.
机器人群的单列运动
我们展示了一组通过位置传感器相互作用的机器人单列运动的实验结果。我们成功地复制了这些系统的典型基本图,随着系统密度的增加,从自由流动过渡到拥堵交通。在后一种情况下,我们还观察到了特有的走走停停波。这种新型系统的独特优势,如实验稳定性和可重复性,使得我们可以延长实验运行时间,便于对全局动力学进行全面的统计分析。在一定密度以上,我们观察到平均干扰持续时间和参与干扰的机器人平均数量出现了背离。这一发现使我们能够精确识别另一个过渡:从拥堵的间歇流(中间密度)到高密度的完全拥堵场景。除了这一发现之外,本研究还证明了机器人群适用于模拟许多粒子系统中的复杂行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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