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

机译:多移动机器人全局与局部路径规划融合算法的收敛证明

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First of all, a global path-planning algorithm synchronously selects the shortest paths of multiple mobile robots. Therefore, it is time consuming because of the 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 the 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 mixing global and local path-planning algorithms, and then we give a proof such that all robots arrive at their destinations.
机译:首先,全局路径规划算法可以同步选择多个移动机器人的最短路径。因此,由于难于进行组合搜索,因此很耗时。另一方面,局部路径规划算法可独立选择每个移动机器人的较短路径。因此,由于非组合搜索,因此不费时。但是,我们必须考虑以下两个问题。 (1)应该解决两个或多个机器人的几种类型的碰撞。 (2)理论上应确保所有机器人都收敛到目的地。为了解决这些问题,我们通过混合全局和局部路径规划算法来设计一种融合算法,然后给出证明,以确保所有机器人都到达其目的地。

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