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

机译:基于改进A *算法的仓储物流机器人批量拣选路径规划

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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:为了使仓库中的仓储物流机器人的拣配路径规划更加有效和实时,提出了一种基于改进的A *算法的仓储物流机器人的批量拣配路径规划。首先,实现了单机器人批量拣选的路径规划。然后,引入时间成本以进一步改进A *算法,以实现多仓库物流机器人的批量拣选路径规划。最后,根据提出的算法,采用.Net可视化编程技术,构建了一套完整的仓库物流机器人拣货路径规划仿真系统,验证了该算法的有效性。研究结果表明,该算法在完成批量拣选任务的过程中可以满足高效,实时路径规划的需求。综上所述,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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