基于市场拍卖的智能仓库系统多机器人任务分配
uction-based multi-agent task assignment in smart logistic center
针对智能仓库系统中多个自主移动机器人的任务分配问题，基于市场拍卖的思想，提出了一种多机器人任务分配方法。由于存在仓库内部移库操作等非对称式任务，同时，除了任务间的关联关系外，每个任务都有不同的自身代价，因而智能仓库多机器人任务分配问题不同于多机器人路由问题。 通过引入任务关联函数和任务自身代价函数对智能仓库多机器人任务分配问题进行建模，并通过性能差异分析建立了适当的竞价策略，实现了一种可用于智能仓库多机器人静态和动态任务分配的拍卖方法。最后，通过仿真实验验证了算法的有效性。
ue to the existence of asymmetrical shelf-shift tasks within the center and diverse self-finished cost of each task besides the correlation between tasks, the problem of multi-robot task assignment in a logistic center is different from multi-robot routing problem. By introducing the correlation function and self-finished cost function, the model of task assignment is presented. Then, the bidding strategy is given by analyzing the performance difference. On these bases, an auction approach is developed for the static and dynamic task assignment. The simulation results show the applicability of the algorithm.
张玉梅、李衍杰、郭宇
自动化技术、自动化技术设备
智能仓库系统多机器人任务分配市场拍卖性能差
Smart logistic centerMulti-agent task assignmentAuction strategyPerformance difference
张玉梅,李衍杰,郭宇.基于市场拍卖的智能仓库系统多机器人任务分配[EB/OL].(2014-01-14)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201401-584.点此复制
评论