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首页> 外文期刊>Intelligent automation and soft computing >Mobile Robots Navigation Modeling in Known 2D Environment Based on Petri Nets
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Mobile Robots Navigation Modeling in Known 2D Environment Based on Petri Nets

机译:基于Petri网的已知二维环境中的移动机器人导航建模。

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The paper deals with supervised robot navigation in known environments. The navigation task is divided into two parts, where one part of the navigation is done by the supervisor system i.e. the system sets the vector marks on the salient edges of the virtual environment map and guides the robot to reach these marks. Mobile robots have to perform a specific task according to the given paths and solve the local obstacles avoidance individually. The salient point's detection, vector mark estimation and optimal path calculation are done on the supervisor computer using colored Petri nets. The proposed approach was extended to simulate a flexible manufacturing system consisting of swarm of 17 robots, 17 - warehouses and 17 - manufacturing places. Our experimental investigation showed that simulated mobile robots with proposed supervision system were efficiently moving on the planned path.
机译:本文介绍了在已知环境中的受监督机器人导航。导航任务分为两部分,其中导航的一部分由主管系统完成,即系统在虚拟环境地图的显着边缘上设置矢量标记,并引导机器人到达这些标记。移动机器人必须根据给定的路径执行特定任务,并分别解决避开局部障碍物的问题。突出点的检测,矢量标记估计和最佳路径计算在主管计算机上使用有色Petri网进行。提议的方法已扩展为模拟一个灵活的制造系统,该系统由17个机器人,17个仓库和17个制造场所组成。我们的实验研究表明,带有拟议监督系统的模拟移动机器人可以在计划的路径上高效移动。

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