基于改进A*算法的仓储物流机器人分批拣选路径规划

Lini Duan
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引用次数: 13

摘要

为了提高仓储物流机器人在仓库中拣货路径规划的实时性和有效性,提出了一种基于改进a *算法的仓储物流机器人批量拣货路径规划。首先,实现了单机器人批量拾取的路径规划;然后,引入时间成本对A*算法进行进一步改进,实现多仓物流机器人分批拣货路径规划。最后,根据所提出的算法,应用。net可视化编程技术构建了一个完整的仓库物流机器人拾取路径规划仿真系统,验证了所提出算法的有效性。研究结果表明,所提出的算法能够满足批量拣选任务完成过程中高效、实时的路径规划需求。综上所述,为实现仓库管理的智能化、全自动化奠定了坚实的基础。
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Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm
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.
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