Implementation of a Mobile Robot Tracking System Using RSS Measurements

碩士 === 國立成功大學 === 電機工程學系專班 === 97 === Recently, Wireless sensor networks have been applied to home care and environmental monitoring systems to provide many context-aware services. In addition to the sensor networks, it is anticipated that future e-home will feature mobile robots to facilitate inter...

Full description

Bibliographic Details
Main Authors: Shin-Hua Su, 蘇信華
Other Authors: Jyh-Ching Juang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/04660915844770671335
id ndltd-TW-097NCKU5442102
record_format oai_dc
spelling ndltd-TW-097NCKU54421022016-05-04T04:17:32Z http://ndltd.ncl.edu.tw/handle/04660915844770671335 Implementation of a Mobile Robot Tracking System Using RSS Measurements 利用無線訊號場強量測實現輪型載具追踨系統 Shin-Hua Su 蘇信華 碩士 國立成功大學 電機工程學系專班 97 Recently, Wireless sensor networks have been applied to home care and environmental monitoring systems to provide many context-aware services. In addition to the sensor networks, it is anticipated that future e-home will feature mobile robots to facilitate interactive services. The thesis attempts to establish a personal tracking robot system based on sensor networks and mobile robot techniques. In the thesis, sensor network nodes are installed in the robots to provide data communication and range measurement capabilities. The range measurements are based on the readily available received signal strength (RSS) data. The mobile robot is then capable of tracking the person by manipulating the RSS measurements. Two different robot platforms are investigated to assess the robustness of the proposed RSS-based approach. The measurement and control techniques are verified both indoor and out-door. The technique which can be implemented in a low cost will be beneficial to future human-robot interactions. Jyh-Ching Juang 莊智清 2009 學位論文 ; thesis 68 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 電機工程學系專班 === 97 === Recently, Wireless sensor networks have been applied to home care and environmental monitoring systems to provide many context-aware services. In addition to the sensor networks, it is anticipated that future e-home will feature mobile robots to facilitate interactive services. The thesis attempts to establish a personal tracking robot system based on sensor networks and mobile robot techniques. In the thesis, sensor network nodes are installed in the robots to provide data communication and range measurement capabilities. The range measurements are based on the readily available received signal strength (RSS) data. The mobile robot is then capable of tracking the person by manipulating the RSS measurements. Two different robot platforms are investigated to assess the robustness of the proposed RSS-based approach. The measurement and control techniques are verified both indoor and out-door. The technique which can be implemented in a low cost will be beneficial to future human-robot interactions.
author2 Jyh-Ching Juang
author_facet Jyh-Ching Juang
Shin-Hua Su
蘇信華
author Shin-Hua Su
蘇信華
spellingShingle Shin-Hua Su
蘇信華
Implementation of a Mobile Robot Tracking System Using RSS Measurements
author_sort Shin-Hua Su
title Implementation of a Mobile Robot Tracking System Using RSS Measurements
title_short Implementation of a Mobile Robot Tracking System Using RSS Measurements
title_full Implementation of a Mobile Robot Tracking System Using RSS Measurements
title_fullStr Implementation of a Mobile Robot Tracking System Using RSS Measurements
title_full_unstemmed Implementation of a Mobile Robot Tracking System Using RSS Measurements
title_sort implementation of a mobile robot tracking system using rss measurements
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/04660915844770671335
work_keys_str_mv AT shinhuasu implementationofamobilerobottrackingsystemusingrssmeasurements
AT sūxìnhuá implementationofamobilerobottrackingsystemusingrssmeasurements
AT shinhuasu lìyòngwúxiànxùnhàochǎngqiángliàngcèshíxiànlúnxíngzàijùzhuīzōngxìtǒng
AT sūxìnhuá lìyòngwúxiànxùnhàochǎngqiángliàngcèshíxiànlúnxíngzàijùzhuīzōngxìtǒng
_version_ 1718256240186884096