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Improved Hybrid Algorithm of Path Planning for Automated Guided Vehicle in Storage System

机译:改进的存储系统自动引导车辆路径规划的混合算法

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Aiming at the problem of automated guided vehicle path planning in storage system, this paper provided a new method which combines global path planning algorithm and local path planning algorithm to achieve the goal of finding the optimal path. In this paper, the improved A~* algorithm is used as the global path planning algorithm, and the improved APF algorithm is used as the local path planning algorithm. The hybrid algorithm not only makes full use of the known information to generate the global optimal path, but also can effectively avoid obstacles on the path. The advantages and effectiveness of the hybrid algorithm are proved by the results of simulations and applications.
机译:针对存储系统中自动导向车道规划问题,本文提供了一种新方法,它结合了全局路径规划算法和本地路径规划算法来实现找到最佳路径的目标。在本文中,改进的A〜*算法用作全局路径规划算法,并且改进的APF算法用作本地路径规划算法。混合算法不仅可以充分利用已知信息以产生全局最优路径,而且可以有效地避免路径上的障碍物。通过模拟和应用结果证明了混合算法的优点和有效性。

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