Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System

碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === We consider building an indoor low-cost mobile robot that can be used in home or office applications. Due to the complication and dynamic changing nature of a home/office environment, it is essential for such a robot to be self-guiding in the sense that it...

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Main Authors: Hsu, Ming-Hsiu, 徐敏修
Other Authors: Tseng, Yu-Chee
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/16400558648202087377
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spelling ndltd-TW-098NCTU53920072016-04-25T04:28:33Z http://ndltd.ncl.edu.tw/handle/16400558648202087377 Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System 以RFID及WiFi定位技術設計自我導航機器人系統 Hsu, Ming-Hsiu 徐敏修 碩士 國立交通大學 資訊學院碩士在職專班資訊組 98 We consider building an indoor low-cost mobile robot that can be used in home or office applications. Due to the complication and dynamic changing nature of a home/office environment, it is essential for such a robot to be self-guiding in the sense that it is able to determine its current location as well as navigate to locations which it is commanded to. By integrating with wireless communication, indoor localization, and RFID technologies, it is possible to build a self-guiding robot at low cost. We propose an architecture to achieve this goal at centimeter-to-meter level accuracy. A robot can even roam into an area which is new to it. We achieve this goal by allowing a robot to download the indoor map in its vicinity. With WiFi localization, it determines its rough location at meter-level accuracy. From the downloaded map, it then tries to track any RFID tag in the indoor map, on which events it actually localizes itself at centimeter-level accuracy. To verify our results, we demonstrate a prototyping system based on iRobot. Our results have potentially important implications on future digital home/office. Tseng, Yu-Chee 曾煜棋 2010 學位論文 ; thesis 26 en_US
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description 碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === We consider building an indoor low-cost mobile robot that can be used in home or office applications. Due to the complication and dynamic changing nature of a home/office environment, it is essential for such a robot to be self-guiding in the sense that it is able to determine its current location as well as navigate to locations which it is commanded to. By integrating with wireless communication, indoor localization, and RFID technologies, it is possible to build a self-guiding robot at low cost. We propose an architecture to achieve this goal at centimeter-to-meter level accuracy. A robot can even roam into an area which is new to it. We achieve this goal by allowing a robot to download the indoor map in its vicinity. With WiFi localization, it determines its rough location at meter-level accuracy. From the downloaded map, it then tries to track any RFID tag in the indoor map, on which events it actually localizes itself at centimeter-level accuracy. To verify our results, we demonstrate a prototyping system based on iRobot. Our results have potentially important implications on future digital home/office.
author2 Tseng, Yu-Chee
author_facet Tseng, Yu-Chee
Hsu, Ming-Hsiu
徐敏修
author Hsu, Ming-Hsiu
徐敏修
spellingShingle Hsu, Ming-Hsiu
徐敏修
Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
author_sort Hsu, Ming-Hsiu
title Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
title_short Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
title_full Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
title_fullStr Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
title_full_unstemmed Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System
title_sort designing self-guiding robot with assistance of rfid tags and wifi localization system
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/16400558648202087377
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