Single file motion of robot swarms

التفاصيل البيبلوغرافية
العنوان: Single file motion of robot swarms
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