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...
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Veröffentlicht in: | Wireless communications and mobile computing 2022-09, Vol.2022, p.1-8 |
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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 |
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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 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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 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Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & 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> |
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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 |
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