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基于双蚁群算法的双机器人路径规划方法
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广东省教育厅青年创新人才项目(2018KQNCX143);广州市科技计划项目(201604016107)


Path Planning Method for Dual Robot Based on Double Ant Colony Algorithm
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    摘要:

    针对双机器人协同作业时的路径规划问题,在蚁群算法的基础上提出一种双蚁群路径规划方法。通过轮候选择机制,使2个不同的蚂蚁群能合作完成所有的作业任务。在蚁群迭代过程中,利用同种群蚂蚁之间信息素的正反馈作用,优化蚁群的移动路径;利用不同种群蚁群之间信息素的负反馈作用,降低2个蚁群之间的冲突,找到2台机器人的最优移动路径。仿真结果表明:该算法具有收敛性,能同时实现双机器人的任务分配和路径规划,且路径规划结果优于现有的双机器人路径规划算法。

    Abstract:

    Aimed at the path planning problem of dual robot system collaborative work, a double ant colony path planning method was proposed based on ant colony algorithm. In the method, two different ant colonies could cooperate to complete all the tasks through the wheel candidate selection mechanism.In the process of ant colony iteration, positive feedback effect of the pheromones between same populations of ants was used to optimize the movement path of the ant colony. And negative feedback effect of the pheromones between different ant colonies was used to reduce the conflict between the two ant colonies.So the optimal moving paths of the two robots were found through the iterative process.The simulation results show that the algorithm is convergent and can be used to realize the task assignment and path planning of dual robot at the same time. The path planning result is better than that of the existing dual robot path planning algorithm

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徐金雄,王涛,刘军,班勃.基于双蚁群算法的双机器人路径规划方法[J].机床与液压,2020,48(23):45-48.
XU Jinxiong, WANG Tao, LIU Jun, BAN Bo. Path Planning Method for Dual Robot Based on Double Ant Colony Algorithm[J]. Machine Tool & Hydraulics,2020,48(23):45-48

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  • 在线发布日期: 2021-02-20
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