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Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm

机译:基于修改的A *算法的仓储和物流机器人批量挑选路径规划

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摘要

To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.
机译:为了使仓储和物流机器人的采摘路径规划更高效和实时,提出了一种基于修改的A *算法的仓储和物流机器人批量挑选的路径规划。首先,实现了单个机器人批量采摘的路径规划。然后,引入了时间成本,以进一步改进A *算法实现多仓库物流机器人的批量拣选路径规划。最后,根据所提出的算法,应用了.NET视频编程技术,建立了完整的仓库物流机器人采摘路径规划仿真系统,以验证提出的算法的有效性。研究结果表明,在完成批量采摘任务的过程中,所提出的算法可以满足有效和实时路径规划的需求。总而言之,它为实现智能和全自动仓库管理奠定了坚实的基础。

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  • 作者

    Li-Mei Duan;

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  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
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