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Mobile Robot Self Localization based on Multi-Antenna-RFID Reader and IC Tag Textile

机译:基于多天线-RFID读写器和IC标签纺织的移动机器人自定位

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摘要

This paper presents a self-localization systemusing multiple RFID reader antennas and High-FrequencyRFID-tag textile floor for an indoor autonomous mobile robot.Conventional self-localization systems often use vision sensorsand/or laser range finders and an environment model. It isdifficult to estimate the exact global location if the environmenthas number of places that have similar shape boundaries orsmall number of landmarks to localize. It tends to take a longtime to recover the self-localization estimation if it goes wrong atonce. Vision sensors work hard in dark lighting condition. Laserrange finder often fails to detect distance to a transparent wall.In addition, the self-localization becomes unstable if obstaclesocclude landmarks that are important to estimate position ofthe robot. Door opening and closing condition affects the self-localization performance.Self-localization system based on reading RFID-tags on flooris robust against lighting condition, obstacles, furniture anddoors conditions in the environment. Even if the arrangementof the obstacles or furniture in the environment is changed,it is not necessary to update the map for the self-localization.It can localize itself immediately and is free from well-knownkidnapped robot problem because the RFID-tags give global po-sition information. Conventional self-localization systems basedon reading RFID-tags on floor often use only one RFID readerantenna and have difficulty of orientation estimation. We havedeveloped a self-localization system using multiple RFID readerantennas and High-Frequency RFID-tag textile floor for anindoor autonomous mobile robot. Experimental results showthe validity of the proposed methods.
机译:本文提出了一种用于室内自主移动机器人的,使用多个RFID阅读器天线和高频RFID标签纺织地板的自定位系统。传统的自定位系统通常使用视觉传感器和/或激光测距仪和环境模型。如果环境中有许多具有相似形状边界的地方或要定位的地标数目很少,则很难估计确切的全球位置。如果错误出现,往往会花费很长时间来恢复自定位估计。视觉传感器在黑暗的照明条件下仍能正常工作。 Laserrange finder通常无法检测到透明墙的距离。此外,如果障碍物阻塞了对估计机器人位置很重要的地标,则自定位变得不稳定。门的打开和关闭状态会影响自定位性能。基于读取RFID标签的自定位系统可抵抗光照条件,障碍物,家具和门的环境条件。即使环境中障碍物或家具的布置发生了变化,也无需为自定位更新地图。它可以立即进行自身定位,并且不会遇到众所周知的绑架机器人问题,因为RFID标签可以提供全局定位位置信息。基于在地板上读取RFID标签的常规自定位系统通常仅使用一个RFID读取器天线,并且难以进行方位估计。我们已经开发了一种自动定位系统,该系统使用多个RFID阅读器天线和用于室内自主移动机器人的高频RFID标签纺织地板。实验结果证明了该方法的有效性。

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