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A convergence proof of a fusion algorithm of global and local path-planning for multiple mobile robots

机译:多个移动机器人的全局和局部路径规划融合算法的融合算法

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First of all, a global path-planning algorithm synchronously selects shortest paths of multiple mobile robots. Therefore, it is time consuming because of hard combination search. On the other hand, a local path-planning algorithm independently selects a shorter path of each mobile robot. Therefore, it is not time consuming because of non-combination search. However, we must consider the following two problems: (1) Several types of collisions of two or more robots should be solved. (2) Convergence of all robots to their destinations should be theoretically ensured. To solve these problems, we design a fusion algorithm by miring global and local path-planning algorithms, and then we give a proof such that all robots arrive at their destinations in this paper.
机译:首先,全局路径规划算法同步选择多个移动机器人的最短路径。因此,由于硬组合搜索,它是耗时的。另一方面,本地路径规划算法独立地选择每个移动机器人的较短路径。因此,由于非组合搜索,它不会耗时。但是,我们必须考虑以下两个问题:(1)应该解决两个或更多机器人的几种类型的碰撞。 (2)理论上应确保所有机器人的收敛到其目的地。为了解决这些问题,我们通过默认全局和本地路径规划算法设计了一种融合算法,然后我们给出了证明,使所有机器人都能到达本文的目的地。

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