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path Planning of Multiple Unmanned Aerial Vehicles Based on RRT Algorithm

机译:基于RRT算法的多万无万航空车辆路径规划

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An optimal path planning method for multiple autonomous UAVs have been based on the modification of Rapidly-exploring Random Tree (RRT) algorithm by using the Rapidly-exploring Random Tree (RRT). The proposed method improves the path of RRT algorithm in 2D configuration space. The improved RRT algorithm is used to form the same path for each iteration and generate the minimum distance between the nodes. Moreover, the path reconstruction strategy has been put further to handle the problem of multiple UAVs. The effectiveness of the proposed method has been demonstrated through simulation using MATLAB.
机译:多个自主无人机的最佳路径规划方法基于使用快速探索随机树(RRT)的快速探索随机树(RRT)算法的修改。所提出的方法改善了2D配置空间中的RRT算法的路径。改进的RRT算法用于形成每个迭代的相同路径,并在节点之间产生最小距离。此外,路径重建策略已经进一步进一步处理了多个无人机的问题。通过使用MATLAB进行模拟证明了所提出的方法的有效性。

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