Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot

In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the ro...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless communications and mobile computing 2022-09, Vol.2022, p.1-8
1. Verfasser: Chen, Qinglai
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 8
container_issue
container_start_page 1
container_title Wireless communications and mobile computing
container_volume 2022
creator Chen, Qinglai
description In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the robot to reduce the limitation of teaching range. A hand-held teaching device with a feature plate and a position and pose measuring rod is designed to teach the position and pose of set points quickly. The least square method is used to calibrate the translation parameters of the end of the feature plate. The system collects the image of the feature plate of the hand-held teaching device through binocular vision module and processes the image to obtain the position and pose information of the end points; the pose information is converted to the robot base coordinate system to realize the robot teaching reproduction, and then the teaching reproduction test of 25 points in space is carried out. The experimental results show that the average error of the robot teaching position is 2.427 mm; after using mobile demonstration, the mean position error decreases by 25.3%. Conclusion. The application of virtual reality technology in the teaching and training system of machining industrial robot can improve the accuracy of teaching repetition.
doi_str_mv 10.1155/2022/3415660
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2720246680</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2720246680</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-71d3339917ac697644d32c60b517fdee78976f969f2c81ee4af4f76ae7feaea43</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKs3f8CCR12br012j6X4USgoWr0uaTZpU7bJmmSR_fdmqXj0NPO-PDPDvABcI3iPUFHMMMR4RigqGIMnYIIKAvOScX7617PqHFyEsIcQEojRBOzmXdcaKaJxNnM6-zQ-9qLN3pRoTRyytZI761q3HTJjkxJyZ-w2E7bJ1l4YO4r3IUR1GKdfvZMqhNFc2qYP0Ztxl9u4eAnOtGiDuvqtU_Dx-LBePOerl6flYr7KJSE85hw1hJCqQlxIVnFGaUOwZHBTIK4bpXiZTF2xSmNZIqWo0FRzJhTXSihByRTcHPd23n31KsR673pv08ka8xQQZayEibo7UtK7ELzSdefNQfihRrAes6zHLOvfLBN-e8TT8434Nv_TP0vqdCo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2720246680</pqid></control><display><type>article</type><title>Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot</title><source>Wiley Online Library Open Access</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Chen, Qinglai</creator><contributor>Nagaraj, Balakrishnan</contributor><creatorcontrib>Chen, Qinglai ; Nagaraj, Balakrishnan</creatorcontrib><description>In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the robot to reduce the limitation of teaching range. A hand-held teaching device with a feature plate and a position and pose measuring rod is designed to teach the position and pose of set points quickly. The least square method is used to calibrate the translation parameters of the end of the feature plate. The system collects the image of the feature plate of the hand-held teaching device through binocular vision module and processes the image to obtain the position and pose information of the end points; the pose information is converted to the robot base coordinate system to realize the robot teaching reproduction, and then the teaching reproduction test of 25 points in space is carried out. The experimental results show that the average error of the robot teaching position is 2.427 mm; after using mobile demonstration, the mean position error decreases by 25.3%. Conclusion. The application of virtual reality technology in the teaching and training system of machining industrial robot can improve the accuracy of teaching repetition.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2022/3415660</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Automation ; Binocular vision ; Calibration ; Cameras ; Computer engineering ; Control theory ; Coordinates ; Efficiency ; Fuzzy sets ; Industrial production ; Industrial robots ; Machining ; Manufacturing ; Modules ; Position errors ; Position measurement ; Robots ; Simulation ; Teaching methods ; Training ; Virtual reality ; Vision systems ; Work stations</subject><ispartof>Wireless communications and mobile computing, 2022-09, Vol.2022, p.1-8</ispartof><rights>Copyright © 2022 Qinglai Chen.</rights><rights>Copyright © 2022 Qinglai Chen. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-71d3339917ac697644d32c60b517fdee78976f969f2c81ee4af4f76ae7feaea43</citedby><cites>FETCH-LOGICAL-c337t-71d3339917ac697644d32c60b517fdee78976f969f2c81ee4af4f76ae7feaea43</cites><orcidid>0000-0002-2652-3155</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Nagaraj, Balakrishnan</contributor><creatorcontrib>Chen, Qinglai</creatorcontrib><title>Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot</title><title>Wireless communications and mobile computing</title><description>In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the robot to reduce the limitation of teaching range. A hand-held teaching device with a feature plate and a position and pose measuring rod is designed to teach the position and pose of set points quickly. The least square method is used to calibrate the translation parameters of the end of the feature plate. The system collects the image of the feature plate of the hand-held teaching device through binocular vision module and processes the image to obtain the position and pose information of the end points; the pose information is converted to the robot base coordinate system to realize the robot teaching reproduction, and then the teaching reproduction test of 25 points in space is carried out. The experimental results show that the average error of the robot teaching position is 2.427 mm; after using mobile demonstration, the mean position error decreases by 25.3%. Conclusion. The application of virtual reality technology in the teaching and training system of machining industrial robot can improve the accuracy of teaching repetition.</description><subject>Automation</subject><subject>Binocular vision</subject><subject>Calibration</subject><subject>Cameras</subject><subject>Computer engineering</subject><subject>Control theory</subject><subject>Coordinates</subject><subject>Efficiency</subject><subject>Fuzzy sets</subject><subject>Industrial production</subject><subject>Industrial robots</subject><subject>Machining</subject><subject>Manufacturing</subject><subject>Modules</subject><subject>Position errors</subject><subject>Position measurement</subject><subject>Robots</subject><subject>Simulation</subject><subject>Teaching methods</subject><subject>Training</subject><subject>Virtual reality</subject><subject>Vision systems</subject><subject>Work stations</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMoWKs3f8CCR12br012j6X4USgoWr0uaTZpU7bJmmSR_fdmqXj0NPO-PDPDvABcI3iPUFHMMMR4RigqGIMnYIIKAvOScX7617PqHFyEsIcQEojRBOzmXdcaKaJxNnM6-zQ-9qLN3pRoTRyytZI761q3HTJjkxJyZ-w2E7bJ1l4YO4r3IUR1GKdfvZMqhNFc2qYP0Ztxl9u4eAnOtGiDuvqtU_Dx-LBePOerl6flYr7KJSE85hw1hJCqQlxIVnFGaUOwZHBTIK4bpXiZTF2xSmNZIqWo0FRzJhTXSihByRTcHPd23n31KsR673pv08ka8xQQZayEibo7UtK7ELzSdefNQfihRrAes6zHLOvfLBN-e8TT8434Nv_TP0vqdCo</recordid><startdate>20220920</startdate><enddate>20220920</enddate><creator>Chen, Qinglai</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-2652-3155</orcidid></search><sort><creationdate>20220920</creationdate><title>Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot</title><author>Chen, Qinglai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-71d3339917ac697644d32c60b517fdee78976f969f2c81ee4af4f76ae7feaea43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Automation</topic><topic>Binocular vision</topic><topic>Calibration</topic><topic>Cameras</topic><topic>Computer engineering</topic><topic>Control theory</topic><topic>Coordinates</topic><topic>Efficiency</topic><topic>Fuzzy sets</topic><topic>Industrial production</topic><topic>Industrial robots</topic><topic>Machining</topic><topic>Manufacturing</topic><topic>Modules</topic><topic>Position errors</topic><topic>Position measurement</topic><topic>Robots</topic><topic>Simulation</topic><topic>Teaching methods</topic><topic>Training</topic><topic>Virtual reality</topic><topic>Vision systems</topic><topic>Work stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Qinglai</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Qinglai</au><au>Nagaraj, Balakrishnan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2022-09-20</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>In order to solve the problem of difficult teaching and slow teaching in the traditional teaching method of industrial robots, a virtual reality technology is proposed in the teaching and training system of industrial robots. The binocular vision module is fixedly connected to the end tool of the robot to reduce the limitation of teaching range. A hand-held teaching device with a feature plate and a position and pose measuring rod is designed to teach the position and pose of set points quickly. The least square method is used to calibrate the translation parameters of the end of the feature plate. The system collects the image of the feature plate of the hand-held teaching device through binocular vision module and processes the image to obtain the position and pose information of the end points; the pose information is converted to the robot base coordinate system to realize the robot teaching reproduction, and then the teaching reproduction test of 25 points in space is carried out. The experimental results show that the average error of the robot teaching position is 2.427 mm; after using mobile demonstration, the mean position error decreases by 25.3%. Conclusion. The application of virtual reality technology in the teaching and training system of machining industrial robot can improve the accuracy of teaching repetition.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2022/3415660</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2652-3155</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1530-8669
ispartof Wireless communications and mobile computing, 2022-09, Vol.2022, p.1-8
issn 1530-8669
1530-8677
language eng
recordid cdi_proquest_journals_2720246680
source Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Automation
Binocular vision
Calibration
Cameras
Computer engineering
Control theory
Coordinates
Efficiency
Fuzzy sets
Industrial production
Industrial robots
Machining
Manufacturing
Modules
Position errors
Position measurement
Robots
Simulation
Teaching methods
Training
Virtual reality
Vision systems
Work stations
title Application of Virtual Reality Technology in Teaching and Training System of Processing Industrial Robot
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T09%3A59%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20Virtual%20Reality%20Technology%20in%20Teaching%20and%20Training%20System%20of%20Processing%20Industrial%20Robot&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Chen,%20Qinglai&rft.date=2022-09-20&rft.volume=2022&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2022/3415660&rft_dat=%3Cproquest_cross%3E2720246680%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2720246680&rft_id=info:pmid/&rfr_iscdi=true