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Multi-robot Automated Search for Non-Adversarial Moving Evaders in an Unknown Environment

机译:多机器人自动搜索未知环境中的非职业移动化身

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摘要

In this paper, the problem of searching for moving evaders in unknown environment using group of mobile robots is investigated. The aim is to find the moving evaders as fast as possible. Three different search techniques are proposed and evaluated through extensive experimentation. In the first two techniques, robots do not cooperate or coordinate their actions. Alternatively, they implement simple movement strategies to locate the evaders. On the contrary, in the third technique, robots employ explicit coordination among each other and they implement a relatively complex algorithm based on voronio graph to find the evaders. In the later technique, each robot needs to be equipped with communication and localization capabilities. The results showed that graph-based technique led to shortest search time. However, it also showed that a reasonable performance is possible with cheap robots implementing simple and non-coordination techniques.
机译:本文研究了使用移动机器人群在未知环境中寻找躲避者的问题。目的是尽快找到移动中的逃避者。提出了三种不同的搜索技术,并通过广泛的实验对其进行了评估。在前两种技术中,机器人不配合或协调其动作。或者,他们实施简单的移动策略来定位躲避者。相反,在第三种技术中,机器人彼此之间采用显式协调,并且它们基于伏洛尼奥图实现了一个相对复杂的算法来寻找逃避者。在后面的技术中,每个机器人都需要配备通信和本地化功能。结果表明,基于图的技术导致最短的搜索时间。但是,这也表明,使用便宜的机器人实施简单且非协调的技术,可以获得合理的性能。

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