تقرير
Single file motion of robot swarms
العنوان: | Single file motion of robot swarms |
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المؤلفون: | Alonso-Llanes, Laciel, Garcimartín, Angel, Zuriguel, Iker |
سنة النشر: | 2024 |
المجموعة: | Computer Science Condensed Matter Nonlinear Sciences |
مصطلحات موضوعية: | Nonlinear Sciences - Adaptation and Self-Organizing Systems, Condensed Matter - Soft Condensed Matter, Computer Science - Robotics |
الوصف: | 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. Comment: 5 pages, 4 figures plus supplemental material |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2403.08683 |
رقم الأكسشن: | edsarx.2403.08683 |
قاعدة البيانات: | arXiv |
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