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Construction of cellular automata over hexagonal and triangular tessellations for path planning of multi-robots

机译:六边形和三角形棋盘格上的元胞自动机的构建,用于多机器人的路径规划

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Exploring unknown terrains demand for the sophisticated algorithms for path planning in case of multi-robot systems. Robots searching for common goals are complicated as they need to avoid collisions. We need to provide paths for all robots which should be collision free and should take less amount of time. Usually these algorithms use square tessellations in this type of investigations, which leads to the lack of variation and enlargement of neighborhood. In this paper we present the construction of a cellular automaton over triangular and hexagonal tessellations and show the complexity for the same. After going through various literatures on robot path planning most don't consider many objectives, like finding shortest path with least time taken and much less waiting time. This paper is unique in a way that apart from hexagonal tessellation we have given a triangular tessellation as well which adds to the efficiency of this paper.
机译:在多机器人系统的情况下,探索未知地形对用于路径规划的复杂算法的需求。寻找共同目标的机器人很复杂,因为它们需要避免碰撞。我们需要为所有机器人提供路径,这些路径应无碰撞且需要较少的时间。通常,这些算法在这种类型的研究中使用方格细分,这导致缺乏变化和邻域扩大。在本文中,我们介绍了在三角形和六边形棋盘格上的元胞自动机的构造,并显示了其复杂性。在阅读了有关机器人路径规划的各种文献之后,大多数人没有考虑很多目标,例如找到花费最少时间且等待时间更少的最短路径。本文的独特之处在于,除了六边形棋盘格外,我们还给出了三角棋盘格,这增加了本文的效率。

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