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RFID-Based Object Localisation with a Mobile Robot to Assist the Elderly with Mild Cognitive Impairments

机译:基于RFID的对象本地化与移动机器人帮助老年人的认知障碍

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Mild Cognitive Impairments (MCI) disrupt the quality of life and reduce the independence of many elderly at home. People with MCI can increasingly become forgetful, hence solutions to help them finding lost objects are useful. This paper presents a framework for mobile robots to localise objects in a domestic environment using Radio Frequency Identification (RFID) technology. In particular, it describes the development of a new library for interacting with RFID readers, readily available for the Robot Operating System (ROS), and introduces some methods for its application to RFID-based object localisation with a single antenna. The framework adopts occupancy grids to create a probabilistic representations of tags location in the environment. A robot traversing the environment can then make use of this framework to keep an internal record of where objects were last spotted, and where they are most likely to be at any given point in time. Some preliminary results are presented, together with directions for future research.
机译:轻度认知障碍(MCI)扰乱了生活质量,减少了许多老年人的独立性。 MCI的人越来越变得健忘,因此解决方案来帮助他们发现丢失的物体是有用的。本文介绍了移动机器人的框架,可以使用射频识别(RFID)技术在国内环境中本地化对象。特别地,它描述了一种与RFID读取器交互的新库的开发,随时可用于机器人操作系统(ROS),并介绍其应用于与单个天线的基于RFID的对象定位的一些方法。该框架采用占用网格在环境中创建标签位置的概率表示。然后,遍历环境的机器人可以利用该框架来保留上次发现对象的内部记录,以及它们最有可能在任何给定的时间点。一些初步结果是呈现的,以及未来研究的方向。

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