使用近视变色龙机器人在无极点上寻找水

Quentin Bramas, P. Lafourcade, Stéphane Devismes
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引用次数: 5

摘要

在2042年,美国宇航局于2014年启动的系外行星探测计划终于发现了一颗新的系外行星,它被称为无极行星,因为它不受任何磁力的影响。新一代自主移动机器人M2C(意为美洛曼近视变色龙)被设计用来在Poleless上寻找水。为了解决这个问题,我们研究了一个小型M2C机器人团队对无限网格探索问题(IGE)的最佳解决方案(w.r.t.,可见范围和使用颜色数量)。我们的第一个结果表明,最小化可见范围和使用颜色的数量是两个正交的问题:不可能同时设计出最优w.r.t.两个参数的IGE问题的解决方案。因此,我们通过提出两种算法分别解决这两个标准的最优性;前者在可见范围方面是最优的,后者在使用颜色的数量方面是最优的。值得注意的是,这两种算法使用的机器人数量非常少,分别为6个和8个。2012 ACM学科分类计算理论→分布式算法
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Finding Water on Poleless Using Melomaniac Myopic Chameleon Robots
In 2042, the exoplanet exploration program,1 launched in 2014 by NASA, finally discovers a new exoplanet so-called Poleless, due to the fact that it is not subject to any magnetism. A new generation of autonomous mobile robots, called M2C (for Melomaniac Myopic Chameleon), have been designed to find water on Poleless. To address this problem, we investigate optimal (w.r.t., visibility range and number of used colors) solutions to the infinite grid exploration problem (IGE) by a small team of M2C robots. Our first result shows that minimizing the visibility range and the number of used colors are two orthogonal issues: it is impossible to design a solution to the IGE problem that is optimal w.r.t. both parameters simultaneously. Consequently, we address optimality of these two criteria separately by proposing two algorithms; the former being optimal in terms of visibility range, the latter being optimal in terms of number of used colors. It is worth noticing that these two algorithms use a very small number of robots, respectively six and eight. 2012 ACM Subject Classification Theory of computation → Distributed algorithms
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