多移动机器人在基于地图的射频接入点放置中的应用

Doug Kim
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引用次数: 1

摘要

本文提出了一种利用多个移动机器人通过双层网络协作收集室内射频传播损耗数据的方法。所收集的数据用于放置无线接入点,以使用最少数量的接入点最大化覆盖范围。提出了一种基于网格地图的多机器人导航方法,这是移动机器人利用中的一个关键问题。使用基于网格的地图和测距仪获取周围信息并与预先填充的信息相匹配,可以正确识别机器人的位置。这解决了在室内环境下定位时GPS信号微弱或无信号的问题。研究了不需要多个机器人的定时和同步中心源的数据采集策略。这是通过基于脚本的机器人命令执行以及请求和响应控制消息的交换来完成的。最后,对导航误差和数据误差的影响及其容限进行了数值分析,以便对所收集的数据进行正确的解释。
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Utilization of multiple mobile robots for map based RF access-point placement
This paper presents a way of collecting indoor RF propagation loss data utilizing multiple mobile robots collaborating through double-layered networks. The collected data are used to place wireless access points to maximize coverage with a minimum number of access points. A novel approach is used to navigate multiple robots using grid based maps which is a key issue in mobile robot utilization. Using grid based maps and range-finders to acquire surrounding information and match with a pre-populated information, robot locations are correctly identified. This resolved the problem of weak or no GPS signal in an indoor environment for position determination. The data acquisition strategy is studied without requiring a central source of timing and synchronization f or multiple robots. This is done using script-based robot command execution with exchange of request and response control messages. Lastly, numerical analysis of effects of navigation and data errors and their tolerances for proper interpretation of the collected data is presented.
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