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An algorithm for safe navigation of mobile robots by a sensor network in dynamic cluttered industrial environments

机译:在动荡的工业环境中通过传感器网络安全移动机器人的算法

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摘要

Mobile robots have been widely implemented in industrial automation and smart factories. Different types of mobile robots work cooperatively in the workspace to complete some complicated tasks. Therefore, the main requirement for multi-robot systems is collision-free navigation in dynamic environments. In this paper, we propose a sensor network based navigation system for ground mobile robots in dynamic industrial cluttered environments. A range finder sensor network is deployed on factory floor to detect any obstacles in the field of view and perform a global navigation for any robots simultaneously travelling in the factory. The obstacle detection and robot navigation are integrated into the sensor network and the robot is only required for a low-level path tracker. The novelty of this paper is to propose a sensor network based navigation system with a novel artificial potential field (APF) based navigation algorithm. Computer simulations and experiments confirm the performance of the proposed method.
机译:移动机器人已广泛应用于工业自动化和智能工厂。不同类型的移动机器人在工作区中协同工作以完成一些复杂的任务。因此,对多机器人系统的主要要求是动态环境中的无碰撞导航。在本文中,我们为动态工业环境中的地面移动机器人提供了一种基于传感器网络的导航系统。测距仪传感器网络部署在工厂车间,以检测视野中的任何障碍并为同时在工厂中行驶的所有机器人执行全局导航。障碍物检测和机器人导航已集成到传感器网络中,只有低级别的路径跟踪器才需要机器人。本文的新颖之处在于提出一种基于传感器网络的导航系统,该导航系统具有一种新颖的基于人工势场(APF)的导航算法。计算机仿真和实验证实了该方法的性能。

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