电商仓库拣货机器人路径规划与实现  

Path Planning and Implementation of Picking Robots in E-commerce Warehouses

作　　者：唐淑华 刘高平[1] 王遵义[1] Tang Shuhua;Liu Gaoping;Wang Zunyi(Zhejiang Wanli University,Ningbo 315100,China)

机构地区：[1]浙江万里学院,浙江宁波315100

出　　处：《物流技术》2018年第8期85-88,111,共5页Logistics Technology

基　　金：2017年浙江省大学生科技创新活动计划暨新苗人才计划(2017R420025)

摘　　要：针对目前电商仓库拣货方式的发展,对机器人拣货路径进行研究与优化。首先实现仓库地图的模拟,得到JAVA语言可识别的描述文件。其次通过JAVA语言实现对描述文件的信息提取与运用,并结合最邻近算法及迪杰斯特拉算法融合进行计算。然后通过JAVA语言与MySQL数据库结合进行避障算法的设计,得到可运行的方案。最后运用MATLAB得到模拟避障结果。测试结果表明,该设计可明显提高路径规划效率,避免道路堵塞等意外发生。In this paper, in light of the current development status of the picking practice in e-commerce warehouses, we attempted to study and optimize the routing of the picking robots. Firstly, by simulating the floor plan of a warehouse, we obtained the identifiable description file written in Java. Next, by extracting and applying the information from the description file, we went about the calculation by combining the nearest neighbor algorithm and the Dijkstra algorithm. Then we designed an obstacle avoidance algorithm through the combination of Java and MySQL database to yield a workable scheme. At the end, we got the simulation results of obstacle avoidance using MATLAB. The result showed that the design could significantly improve the path planning efficiency and prevent accidents such as path jamming, etc.

关 键 词：机器人 拣货 路径规划 迪杰斯特拉算法 

分 类 号：F253.9[经济管理—国民经济] TP242[自动化与计算机技术—检测技术与自动化装置]