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Distributed path planning for multi-robot teams based on Artificial Bee Colony

机译:基于人工蜂群的多机器人团队分布式路径规划

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In this paper, we propose a distributed planner method for multi-robot systems based on Swarm Intelligence. The method uses a distributed version of a priority based planner to compute coordinated motions of multiple robots in parallel. The Artificial Bee Colony algorithm is used to find velocity profiles that avoid collisions between robots and that minimize the time of the path execution. The proposed planner is tested in some transportation problems with scenarios as warehouses, offices, etc. We compare the proposed method to a classic priority method that uses the proposed coordination scheme to observe the advantages of our distributed method.
机译:在本文中,我们提出了一种基于群智能的多机器人系统的分布式计划方法。该方法使用基于优先级的Planner的分布式版本,以并行计算多个机器人的协调运动。人造蜂菌落算法用于找到避免机器人之间的碰撞的速度配置文件,并最小化路径执行的时间。拟议的规划师在一些运输问题中进行了测试,其中方案作为仓库,办公室等。我们将所提出的方法与使用所提出的协调方案观察我们分布式方法的优势的经典优先方法进行比较。

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