平面上的对称性破坏

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jurek Czyzowicz, Leszek Gąsieniec, Ryan Killick, Evangelos Kranakis
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引用次数: 0

摘要

我们研究了两个机器人在无限欧几里德平面上确定性对称性破缺的可行性问题,这两个机器人对自己和对方的能力和“测量仪器”知之甚少或一无所知。假设两个匿名的移动机器人被放置在无限欧几里得平面上彼此距离未知的不同位置。每个机器人既不知道自己的位置,也不知道其他机器人的位置。机器人不能无线通信,但具有一定的非零可见半径r(机器人不知道范围r)。我们所说的会合是指通过执行对称(相同)移动算法,它们彼此之间的距离最多为r。机器人以未知的恒定速度移动,但不一定是相同的速度,它们的时钟和计步器可能不对称,它们的手性也不一致。我们证明了在所研究的模型下,两个机器人的交会是可行的,前提是机器人具有不同的速度;或者不同的时钟;或者不同的方向但手性相同。当交会可行时,我们提供了一种通用算法,该算法在机器人不知道各自参数中哪一个可能不同的情况下,始终能求解交会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symmetry Breaking in the Plane

We study a fundamental question related to the feasibility of deterministic symmetry breaking in the infinite Euclidean plane for two robots that have minimal or no knowledge of the respective capabilities and “measuring instruments” of themselves and each other. Assume that two anonymous mobile robots are placed at different locations at unknown distance d from each other on the infinite Euclidean plane. Each robot knows neither the location of itself nor of the other robot. The robots cannot communicate wirelessly, but have a certain nonzero visibility radius r (with range r unknown to the robots). By rendezvous we mean that they are brought at distance at most r of each other by executing symmetric (identical) mobility algorithms. The robots are moving with unknown and constant but not necessarily identical speeds, their clocks and pedometers may be asymmetric, and their chirality inconsistent. We demonstrate that rendezvous for two robots is feasible under the studied model iff the robots have either: different speeds; or different clocks; or different orientations but equal chiralities. When the rendezvous is feasible, we provide a universal algorithm which always solves rendezvous despite the fact that the robots have no knowledge of which among their respective parameters may be different.

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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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