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Flowrate behavior and clustering of self-driven robots in a channel

机译:通道中自驱动机器人的流量行为和聚类

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摘要

In this paper,the collective motion of self-driven robots is studied experimentally and theoretically.In the channel,the flowrate of robots increases with the density linearly,even if the density of the robots tends to 1.0.There is no abrupt drop in the flowrate,similar to the collective motion of ants.We find that the robots will adjust their velocities by a serial of tiny collisions.The speed-adjustment will affect both robots involved in the collision,and will help to maintain a nearly uniform velocity for the robots.As a result,the flowrate drop will disappear.In the motion,the robots neither gather together nor scatter completely.Instead,they form some clusters to move together.These clusters are not stable during the moving process,but their sizes follow a power-law-alike distribution.We propose a theoretical model to simulate this collective motion process,which can reproduce these behaviors well.Analytic results about the flowrate behavior are also consistent with experiments.
机译:本文从理论上对自驱动机器人的集体运动进行了研究。在通道内,即使机器人的密度趋于1.0,其流量也随密度的增加而线性增加。我们发现机器人将通过一系列微小的碰撞来调整速度。速度调整会影响参与碰撞的两个机器人,并有助于保持机器人几乎一致的速度。结果,流量下降将消失。在运动中,机器人既不会聚集也不会完全散开。相反,它们形成了一些群集以一起移动。这些群集在移动过程中不稳定,但是它们的大小遵循我们提出了一个理论模型来模拟这种集体运动过程,可以很好地重现这些行为。关于流量行为的分析结果也与实验一致。

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  • 来源
    《中国物理:英文版》 |2018年第3期|568-573|共6页
  • 作者单位

    School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;

    School of Engineering, Anhui Agricultural University, Hefei 230036, China;

    School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;

    School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;

    MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;

    School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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