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Robot Networks with Homonyms: The Case of Patterns Formation

机译:具有同音异义的机器人网络:模式形成的案例

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In this paper, we consider the problem of formation of a series of geometric patterns by a network of oblivious mobile robots that communicate only through vision. So far, the problem has been studied in models where robots are either assumed to have distinct identifiers or to be completely anonymous. To generalize these results and to better understand how anonymity affects the computational power of robots, we study the problem in a new model in which n robots may share up to 1≤ h ≤ n different identifiers. We present necessary and sufficient conditions, relating symmetricity and homonymy, that makes the problem solvable. We also show that in the case where h = n, making the identifiers of robots invisible does not limit their computational power. This contradicts a recent result of Das et al. To present our algorithms, we use a function that computes the Weber point for many regular and symmetric configurations. This function is interesting in its own right, since the problem of finding Weber points has been solved up to now for only few other patterns.
机译:在本文中,我们考虑了由仅通过视觉进行通信的遗忘移动机器人网络形成一系列几何图案的问题。到目前为止,已经在模型中研究了该问题,在这些模型中,假定机器人具有不同的标识符或完全匿名。为了概括这些结果并更好地理解匿名性如何影响机器人的计算能力,我们在一个新模型中研究了该问题,在该模型中,n个机器人可能共享多达1≤h≤n个不同的标识符。我们提出了满足对称性和同名性的必要条件,这使得问题可以解决。我们还表明,在h = n的情况下,使机器人的标识符不可见并不会限制其计算能力。这与Das等人的最新结果相矛盾。为了展示我们的算法,我们使用一个函数来计算许多常规和对称配置的韦伯点。此功能本身很有趣,因为到目前为止,仅针对其他几种模式解决了查找Weber点的问题。

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