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Gathering Autonomous Mobile Robots

机译:收集自主移动机器人

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摘要

We study the problem of coordinating a set of autonomous mobile robots that can freely move in a two-dimensional plane; in particular, we want them to gather at a point not fixed in advance (GATHERING PROBLEM). We introduce a model of weak robots (decentralized, asynchronous, no common knowledge, no identities, no central coordination, no direct communication, oblivious) which can observe the set of all points in the plane which are occupied by other robots. Based on this observation, a robot uses a deterministic algorithm to compute a destination, and moves there. We prove that these robots are too weak to gather at a point in finite time. Therefore, we strengthen them with the ability to detect whether more than one robot is at a point (multiplicity). We analyze the GATHERING PROBLEM for these stronger robots. We show that the problem is still unsolvable if there are only two robots in the system. For 3 and 4 robots, we give algorithms that solve the GATHERING PROBLEM. For more than 4 robots, we present an algorithm that gathers the robots in finite time if they are not in a specific symmetric configuration at the beginning (biangular configuration). We show how to solve such initial configurations separately. However, the general solution of the GATHERING PROBLEM remains an open problem.
机译:我们研究协调一组可以在二维平面内自由移动的自主移动机器人的问题。特别是,我们希望他们聚集在事先未确定的地点(聚集问题)。我们引入了一个弱机器人模型(分散的,异步的,没有常识,没有身份,没有中央协调,没有直接交流,遗忘),它可以观察飞机上所有被其他机器人占据的点的集合。基于此观察结果,机器人将使用确定性算法来计算目的地并将其移动到目的地。我们证明了这些机器人太弱了,无法在有限的时间内聚集到某个点。因此,我们通过检测一个点(多重性)是否存在多个机器人的能力来增强它们。我们分析了这些更强大的机器人的聚集问题。我们表明,如果系统中只有两个机器人,则该问题仍然无法解决。对于3个和4个机器人,我们给出了解决GATHERING问题的算法。对于超过4个机器人,我们提出了一种算法,该算法在开始时未采用特定的对称配置(矩形配置)的情况下会在有限时间内收集机器人。我们将展示如何分别解决此类初始配置。但是,综合问题的一般解决方案仍然是一个未解决的问题。

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