Tour guide robot using wireless based localization

John MacDougall, G. Tewolde
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引用次数: 8

Abstract

This paper details the design and implementation of a tour guide robot. This robot makes use of a ZigBee wireless network to locate itself in the tour area using a weighted centroid technique. Most popular technologies like GPS based localization do not work well in the indoor environment that the tour guide robot would operate in. The ZigBee-based solution works better in this type of environment plus the individual ZigBee nodes can be used for building monitoring applications (such as temperature and smoke detection) as well. The weighted centroid method is not the only method of localization but it is the simplest. Other competing methods like trilateration and triangulation are more prone to error as they require accurate distance measurements that an indoor environment with its myriad of reflective surfaces cannot provide. The implementation that this paper presents was able to achieve a desirable level of accuracy. The best case in the trials was a 0.61 m margin of error, and the average case was 2.38 m.
基于无线定位的导游机器人
本文详细介绍了一种导游机器人的设计与实现。该机器人利用ZigBee无线网络,利用加权质心技术在旅游区域定位自己。大多数流行的技术,如基于GPS的定位,在导游机器人操作的室内环境中并不适用。基于ZigBee的解决方案在这种类型的环境中工作得更好,而且单个ZigBee节点也可以用于建筑监控应用(例如温度和烟雾检测)。加权质心法不是唯一的定位方法,但却是最简单的定位方法。其他竞争方法,如三边测量和三角测量,更容易出错,因为它们需要精确的距离测量,而室内环境的无数反射表面无法提供。本文提出的实现能够达到理想的精度水平。试验的最佳误差范围为0.61米,平均误差范围为2.38米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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