Loading…
System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot
In order to improve robot arm intelligent tracing control accuracy and make the robot move in the environment autonomously, the robot must be capable of calculating its pose, the nominal system dynamics model based on orientation parameters of moving plant of shoulder is developed. Pose localization...
Saved in:
Published in: | Sensors & transducers 2013-09, Vol.156 (9), p.156-156 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 156 |
container_issue | 9 |
container_start_page | 156 |
container_title | Sensors & transducers |
container_volume | 156 |
creator | Xiao-Yuan, Qu Feng, Zhang Yong-Heng, Zhang Jian-Gang, Bong |
description | In order to improve robot arm intelligent tracing control accuracy and make the robot move in the environment autonomously, the robot must be capable of calculating its pose, the nominal system dynamics model based on orientation parameters of moving plant of shoulder is developed. Pose localization problem is a key researching domain in the mobile robot community and get much attention around the world. This dissertation is focused on the multi-sensor fusion based pose calculation problem for mobile robot. Application results show that the intelligent tracking has a significant effect in improving the tracing efficiency and reducing the tracking and monitoring cost, improving the capability of environment perception, co-operating and autonomous navigation of mobile robot. [PUBLICATION ABSTRACT] |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671517559</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1671517559</sourcerecordid><originalsourceid>FETCH-LOGICAL-p131t-aab2fe7176ea9bc242e5fc2d683b0d794e42b450b9b2c6465a5b516f702d3eda3</originalsourceid><addsrcrecordid>eNpdj01LAzEYhIMoWLT_IeDFy0KSzUdz1PpVqAq24rEkm3fLttuk5k2R_ntX9ORpGOZhmDkhI26ErpQ09pSMRM10NVFcnZMx4oYxxpkxVrARgcURC-zo3TG6XdcgfU4B-i6uqYuBzmKBvu_WEAtdZtdsf4JpiiWnnt46hEBTpB9dhh4Q6QIipkxfoHylvEXaDuYt-VQuyVnreoTxn16Q94f75fSpmr8-zqY382rPa14q57xowXCjwVnfCClAtY0IelJ7FoyVIIWXinnrRaOlVk55xXVrmAg1BFdfkOvf3n1OnwfAstp12AwXXIR0wBXXhitulLIDevUP3aRDjsO6FVfMTqQWltXfVq1isw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1509846290</pqid></control><display><type>article</type><title>System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot</title><source>Publicly Available Content (ProQuest)</source><source>IngentaConnect Journals</source><creator>Xiao-Yuan, Qu ; Feng, Zhang ; Yong-Heng, Zhang ; Jian-Gang, Bong</creator><creatorcontrib>Xiao-Yuan, Qu ; Feng, Zhang ; Yong-Heng, Zhang ; Jian-Gang, Bong</creatorcontrib><description>In order to improve robot arm intelligent tracing control accuracy and make the robot move in the environment autonomously, the robot must be capable of calculating its pose, the nominal system dynamics model based on orientation parameters of moving plant of shoulder is developed. Pose localization problem is a key researching domain in the mobile robot community and get much attention around the world. This dissertation is focused on the multi-sensor fusion based pose calculation problem for mobile robot. Application results show that the intelligent tracking has a significant effect in improving the tracing efficiency and reducing the tracking and monitoring cost, improving the capability of environment perception, co-operating and autonomous navigation of mobile robot. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 2306-8515</identifier><identifier>ISSN: 1726-5479</identifier><identifier>EISSN: 1726-5479</identifier><language>eng</language><publisher>Toronto: IFSA Publishing, S.L</publisher><subject>Autonomous navigation ; Computing time ; Kinematics ; Machinery ; Mathematical models ; Noise ; Perception ; Robotics ; Robots ; System dynamics ; Task analysis ; Technological change ; Tracking ; Transducers</subject><ispartof>Sensors & transducers, 2013-09, Vol.156 (9), p.156-156</ispartof><rights>Copyright International Frequency Sensor Association Sep 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1509846290/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1509846290?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,36989,36990,44566,74869</link.rule.ids></links><search><creatorcontrib>Xiao-Yuan, Qu</creatorcontrib><creatorcontrib>Feng, Zhang</creatorcontrib><creatorcontrib>Yong-Heng, Zhang</creatorcontrib><creatorcontrib>Jian-Gang, Bong</creatorcontrib><title>System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot</title><title>Sensors & transducers</title><description>In order to improve robot arm intelligent tracing control accuracy and make the robot move in the environment autonomously, the robot must be capable of calculating its pose, the nominal system dynamics model based on orientation parameters of moving plant of shoulder is developed. Pose localization problem is a key researching domain in the mobile robot community and get much attention around the world. This dissertation is focused on the multi-sensor fusion based pose calculation problem for mobile robot. Application results show that the intelligent tracking has a significant effect in improving the tracing efficiency and reducing the tracking and monitoring cost, improving the capability of environment perception, co-operating and autonomous navigation of mobile robot. [PUBLICATION ABSTRACT]</description><subject>Autonomous navigation</subject><subject>Computing time</subject><subject>Kinematics</subject><subject>Machinery</subject><subject>Mathematical models</subject><subject>Noise</subject><subject>Perception</subject><subject>Robotics</subject><subject>Robots</subject><subject>System dynamics</subject><subject>Task analysis</subject><subject>Technological change</subject><subject>Tracking</subject><subject>Transducers</subject><issn>2306-8515</issn><issn>1726-5479</issn><issn>1726-5479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdj01LAzEYhIMoWLT_IeDFy0KSzUdz1PpVqAq24rEkm3fLttuk5k2R_ntX9ORpGOZhmDkhI26ErpQ09pSMRM10NVFcnZMx4oYxxpkxVrARgcURC-zo3TG6XdcgfU4B-i6uqYuBzmKBvu_WEAtdZtdsf4JpiiWnnt46hEBTpB9dhh4Q6QIipkxfoHylvEXaDuYt-VQuyVnreoTxn16Q94f75fSpmr8-zqY382rPa14q57xowXCjwVnfCClAtY0IelJ7FoyVIIWXinnrRaOlVk55xXVrmAg1BFdfkOvf3n1OnwfAstp12AwXXIR0wBXXhitulLIDevUP3aRDjsO6FVfMTqQWltXfVq1isw</recordid><startdate>20130901</startdate><enddate>20130901</enddate><creator>Xiao-Yuan, Qu</creator><creator>Feng, Zhang</creator><creator>Yong-Heng, Zhang</creator><creator>Jian-Gang, Bong</creator><general>IFSA Publishing, S.L</general><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>88K</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>M0N</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>7SC</scope><scope>7TB</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130901</creationdate><title>System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot</title><author>Xiao-Yuan, Qu ; Feng, Zhang ; Yong-Heng, Zhang ; Jian-Gang, Bong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p131t-aab2fe7176ea9bc242e5fc2d683b0d794e42b450b9b2c6465a5b516f702d3eda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Autonomous navigation</topic><topic>Computing time</topic><topic>Kinematics</topic><topic>Machinery</topic><topic>Mathematical models</topic><topic>Noise</topic><topic>Perception</topic><topic>Robotics</topic><topic>Robots</topic><topic>System dynamics</topic><topic>Task analysis</topic><topic>Technological change</topic><topic>Tracking</topic><topic>Transducers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao-Yuan, Qu</creatorcontrib><creatorcontrib>Feng, Zhang</creatorcontrib><creatorcontrib>Yong-Heng, Zhang</creatorcontrib><creatorcontrib>Jian-Gang, Bong</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computing Database</collection><collection>ProQuest Science Journals</collection><collection>Telecommunications Database</collection><collection>ProQuest Engineering Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Sensors & transducers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiao-Yuan, Qu</au><au>Feng, Zhang</au><au>Yong-Heng, Zhang</au><au>Jian-Gang, Bong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot</atitle><jtitle>Sensors & transducers</jtitle><date>2013-09-01</date><risdate>2013</risdate><volume>156</volume><issue>9</issue><spage>156</spage><epage>156</epage><pages>156-156</pages><issn>2306-8515</issn><issn>1726-5479</issn><eissn>1726-5479</eissn><abstract>In order to improve robot arm intelligent tracing control accuracy and make the robot move in the environment autonomously, the robot must be capable of calculating its pose, the nominal system dynamics model based on orientation parameters of moving plant of shoulder is developed. Pose localization problem is a key researching domain in the mobile robot community and get much attention around the world. This dissertation is focused on the multi-sensor fusion based pose calculation problem for mobile robot. Application results show that the intelligent tracking has a significant effect in improving the tracing efficiency and reducing the tracking and monitoring cost, improving the capability of environment perception, co-operating and autonomous navigation of mobile robot. [PUBLICATION ABSTRACT]</abstract><cop>Toronto</cop><pub>IFSA Publishing, S.L</pub><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2306-8515 |
ispartof | Sensors & transducers, 2013-09, Vol.156 (9), p.156-156 |
issn | 2306-8515 1726-5479 1726-5479 |
language | eng |
recordid | cdi_proquest_miscellaneous_1671517559 |
source | Publicly Available Content (ProQuest); IngentaConnect Journals |
subjects | Autonomous navigation Computing time Kinematics Machinery Mathematical models Noise Perception Robotics Robots System dynamics Task analysis Technological change Tracking Transducers |
title | System Dynamics Modeling and Intelligent Tracking Control Based on Wireless Sensor Networks for Robot |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T15%3A43%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=System%20Dynamics%20Modeling%20and%20Intelligent%20Tracking%20Control%20Based%20on%20Wireless%20Sensor%20Networks%20for%20Robot&rft.jtitle=Sensors%20&%20transducers&rft.au=Xiao-Yuan,%20Qu&rft.date=2013-09-01&rft.volume=156&rft.issue=9&rft.spage=156&rft.epage=156&rft.pages=156-156&rft.issn=2306-8515&rft.eissn=1726-5479&rft_id=info:doi/&rft_dat=%3Cproquest%3E1671517559%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p131t-aab2fe7176ea9bc242e5fc2d683b0d794e42b450b9b2c6465a5b516f702d3eda3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1509846290&rft_id=info:pmid/&rfr_iscdi=true |