Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator

This paper considers a problem that visual servo control for an aerial manipulator removes foreign objects of power transmission lines. A position-based visual servoing (PBVS) combing a foreign objects locating method based on the point cloud with a hierarchical task-priority control method is emplo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of intelligent & robotic systems 2021-10, Vol.103 (2), Article 23
Hauptverfasser: Li, Ling, Zhang, Tianlin, Zhong, Hang, Li, Hongwen, Zhang, Hui, Fan, Shaosheng, Cao, Yijia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 2
container_start_page
container_title Journal of intelligent & robotic systems
container_volume 103
creator Li, Ling
Zhang, Tianlin
Zhong, Hang
Li, Hongwen
Zhang, Hui
Fan, Shaosheng
Cao, Yijia
description This paper considers a problem that visual servo control for an aerial manipulator removes foreign objects of power transmission lines. A position-based visual servoing (PBVS) combing a foreign objects locating method based on the point cloud with a hierarchical task-priority control method is employed to drive the aerial manipulator to remove the foreign object. Firstly, the RGB-D camera mounted on the drone obtains the point cloud of the environment, and the foreign object will be localized by the detection and localization algorithm. Then, a new visual servo error is proposed to decouple linear speed and angular speed, allowing the aerial manipulator to grasp accurately in the dangerous environment. In addition, the redundant characteristics of the aerial manipulator will be fully used by the hierarchical task priority control scheme. Finally, experimental results of a drone equipped with a 4-DOF delta manipulator removing foreign objects of power transmission line are provided to demonstrate the effectiveness of the control method.
doi_str_mv 10.1007/s10846-021-01482-3
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2569280118</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A724053336</galeid><sourcerecordid>A724053336</sourcerecordid><originalsourceid>FETCH-LOGICAL-c358t-da89733c68360f55eaf42ab06446d5117c42834c2177334e992583897a44fd283</originalsourceid><addsrcrecordid>eNp9kU1LxDAQhoMouH78AU8Bz9XJV5scF_ELVhRxvYZsmy5ZtsmatMr-e1MreJM5zDDzPjMDL0IXBK4IQHWdCEheFkBJAYRLWrADNCOiYgVwUIdoBmocUVUeo5OUNgCgpFAz1M-HPvjQhSHhV9uFT-fX-C5E69YeP682tu4TbkPEL-HLRvwWjU-dS8kFjxfOW7za42UaIYPf3dgu7gfX2AYvfWe8z8XcRme2-Ml4txu2pg_xDB21Zpvs-W8-Rcu727ebh2LxfP94M18UNROyLxojVcVYXUpWQiuENS2nZgUl52UjCKlqTiXjNSVVlnGrFBWSZcZw3jZ5dIoup727GD4Gm3q9CUP0-aSmolRUAiGj6mpSrc3Waufb0EdT52hs5-rgbetyf15RDoIxVmaATkAdQ0rRtnoXXWfiXhPQox16skNnO_SPHZpliE1QymK_tvHvl3-ob-evjHQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2569280118</pqid></control><display><type>article</type><title>Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator</title><source>SpringerLink (Online service)</source><creator>Li, Ling ; Zhang, Tianlin ; Zhong, Hang ; Li, Hongwen ; Zhang, Hui ; Fan, Shaosheng ; Cao, Yijia</creator><creatorcontrib>Li, Ling ; Zhang, Tianlin ; Zhong, Hang ; Li, Hongwen ; Zhang, Hui ; Fan, Shaosheng ; Cao, Yijia</creatorcontrib><description>This paper considers a problem that visual servo control for an aerial manipulator removes foreign objects of power transmission lines. A position-based visual servoing (PBVS) combing a foreign objects locating method based on the point cloud with a hierarchical task-priority control method is employed to drive the aerial manipulator to remove the foreign object. Firstly, the RGB-D camera mounted on the drone obtains the point cloud of the environment, and the foreign object will be localized by the detection and localization algorithm. Then, a new visual servo error is proposed to decouple linear speed and angular speed, allowing the aerial manipulator to grasp accurately in the dangerous environment. In addition, the redundant characteristics of the aerial manipulator will be fully used by the hierarchical task priority control scheme. Finally, experimental results of a drone equipped with a 4-DOF delta manipulator removing foreign objects of power transmission line are provided to demonstrate the effectiveness of the control method.</description><identifier>ISSN: 0921-0296</identifier><identifier>EISSN: 1573-0409</identifier><identifier>DOI: 10.1007/s10846-021-01482-3</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Algorithms ; Angular speed ; Artificial Intelligence ; Cameras ; Control ; Control algorithms ; Control methods ; Deep learning ; Design ; Electric utilities ; Electrical Engineering ; Electricity distribution ; Engineering ; Manipulators ; Mechanical Engineering ; Mechatronics ; Methods ; Power lines ; Regular Paper ; Robotics ; Robots ; Servocontrol ; Topical collection on Unmanned Systems ; Velocity</subject><ispartof>Journal of intelligent &amp; robotic systems, 2021-10, Vol.103 (2), Article 23</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-da89733c68360f55eaf42ab06446d5117c42834c2177334e992583897a44fd283</citedby><cites>FETCH-LOGICAL-c358t-da89733c68360f55eaf42ab06446d5117c42834c2177334e992583897a44fd283</cites><orcidid>0000-0001-5893-5026</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10846-021-01482-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10846-021-01482-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Zhang, Tianlin</creatorcontrib><creatorcontrib>Zhong, Hang</creatorcontrib><creatorcontrib>Li, Hongwen</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Fan, Shaosheng</creatorcontrib><creatorcontrib>Cao, Yijia</creatorcontrib><title>Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator</title><title>Journal of intelligent &amp; robotic systems</title><addtitle>J Intell Robot Syst</addtitle><description>This paper considers a problem that visual servo control for an aerial manipulator removes foreign objects of power transmission lines. A position-based visual servoing (PBVS) combing a foreign objects locating method based on the point cloud with a hierarchical task-priority control method is employed to drive the aerial manipulator to remove the foreign object. Firstly, the RGB-D camera mounted on the drone obtains the point cloud of the environment, and the foreign object will be localized by the detection and localization algorithm. Then, a new visual servo error is proposed to decouple linear speed and angular speed, allowing the aerial manipulator to grasp accurately in the dangerous environment. In addition, the redundant characteristics of the aerial manipulator will be fully used by the hierarchical task priority control scheme. Finally, experimental results of a drone equipped with a 4-DOF delta manipulator removing foreign objects of power transmission line are provided to demonstrate the effectiveness of the control method.</description><subject>Algorithms</subject><subject>Angular speed</subject><subject>Artificial Intelligence</subject><subject>Cameras</subject><subject>Control</subject><subject>Control algorithms</subject><subject>Control methods</subject><subject>Deep learning</subject><subject>Design</subject><subject>Electric utilities</subject><subject>Electrical Engineering</subject><subject>Electricity distribution</subject><subject>Engineering</subject><subject>Manipulators</subject><subject>Mechanical Engineering</subject><subject>Mechatronics</subject><subject>Methods</subject><subject>Power lines</subject><subject>Regular Paper</subject><subject>Robotics</subject><subject>Robots</subject><subject>Servocontrol</subject><subject>Topical collection on Unmanned Systems</subject><subject>Velocity</subject><issn>0921-0296</issn><issn>1573-0409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1LxDAQhoMouH78AU8Bz9XJV5scF_ELVhRxvYZsmy5ZtsmatMr-e1MreJM5zDDzPjMDL0IXBK4IQHWdCEheFkBJAYRLWrADNCOiYgVwUIdoBmocUVUeo5OUNgCgpFAz1M-HPvjQhSHhV9uFT-fX-C5E69YeP682tu4TbkPEL-HLRvwWjU-dS8kFjxfOW7za42UaIYPf3dgu7gfX2AYvfWe8z8XcRme2-Ml4txu2pg_xDB21Zpvs-W8-Rcu727ebh2LxfP94M18UNROyLxojVcVYXUpWQiuENS2nZgUl52UjCKlqTiXjNSVVlnGrFBWSZcZw3jZ5dIoup727GD4Gm3q9CUP0-aSmolRUAiGj6mpSrc3Waufb0EdT52hs5-rgbetyf15RDoIxVmaATkAdQ0rRtnoXXWfiXhPQox16skNnO_SPHZpliE1QymK_tvHvl3-ob-evjHQ</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Li, Ling</creator><creator>Zhang, Tianlin</creator><creator>Zhong, Hang</creator><creator>Li, Hongwen</creator><creator>Zhang, Hui</creator><creator>Fan, Shaosheng</creator><creator>Cao, Yijia</creator><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</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>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5893-5026</orcidid></search><sort><creationdate>20211001</creationdate><title>Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator</title><author>Li, Ling ; Zhang, Tianlin ; Zhong, Hang ; Li, Hongwen ; Zhang, Hui ; Fan, Shaosheng ; Cao, Yijia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-da89733c68360f55eaf42ab06446d5117c42834c2177334e992583897a44fd283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Angular speed</topic><topic>Artificial Intelligence</topic><topic>Cameras</topic><topic>Control</topic><topic>Control algorithms</topic><topic>Control methods</topic><topic>Deep learning</topic><topic>Design</topic><topic>Electric utilities</topic><topic>Electrical Engineering</topic><topic>Electricity distribution</topic><topic>Engineering</topic><topic>Manipulators</topic><topic>Mechanical Engineering</topic><topic>Mechatronics</topic><topic>Methods</topic><topic>Power lines</topic><topic>Regular Paper</topic><topic>Robotics</topic><topic>Robots</topic><topic>Servocontrol</topic><topic>Topical collection on Unmanned Systems</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Zhang, Tianlin</creatorcontrib><creatorcontrib>Zhong, Hang</creatorcontrib><creatorcontrib>Li, Hongwen</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Fan, Shaosheng</creatorcontrib><creatorcontrib>Cao, Yijia</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of intelligent &amp; robotic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Ling</au><au>Zhang, Tianlin</au><au>Zhong, Hang</au><au>Li, Hongwen</au><au>Zhang, Hui</au><au>Fan, Shaosheng</au><au>Cao, Yijia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator</atitle><jtitle>Journal of intelligent &amp; robotic systems</jtitle><stitle>J Intell Robot Syst</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>103</volume><issue>2</issue><artnum>23</artnum><issn>0921-0296</issn><eissn>1573-0409</eissn><abstract>This paper considers a problem that visual servo control for an aerial manipulator removes foreign objects of power transmission lines. A position-based visual servoing (PBVS) combing a foreign objects locating method based on the point cloud with a hierarchical task-priority control method is employed to drive the aerial manipulator to remove the foreign object. Firstly, the RGB-D camera mounted on the drone obtains the point cloud of the environment, and the foreign object will be localized by the detection and localization algorithm. Then, a new visual servo error is proposed to decouple linear speed and angular speed, allowing the aerial manipulator to grasp accurately in the dangerous environment. In addition, the redundant characteristics of the aerial manipulator will be fully used by the hierarchical task priority control scheme. Finally, experimental results of a drone equipped with a 4-DOF delta manipulator removing foreign objects of power transmission line are provided to demonstrate the effectiveness of the control method.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10846-021-01482-3</doi><orcidid>https://orcid.org/0000-0001-5893-5026</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0921-0296
ispartof Journal of intelligent & robotic systems, 2021-10, Vol.103 (2), Article 23
issn 0921-0296
1573-0409
language eng
recordid cdi_proquest_journals_2569280118
source SpringerLink (Online service)
subjects Algorithms
Angular speed
Artificial Intelligence
Cameras
Control
Control algorithms
Control methods
Deep learning
Design
Electric utilities
Electrical Engineering
Electricity distribution
Engineering
Manipulators
Mechanical Engineering
Mechatronics
Methods
Power lines
Regular Paper
Robotics
Robots
Servocontrol
Topical collection on Unmanned Systems
Velocity
title Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T23%3A41%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Autonomous%20Removing%20Foreign%20Objects%20for%20Power%20Transmission%20Line%20by%20Using%20a%20Vision-Guided%20Unmanned%20Aerial%20Manipulator&rft.jtitle=Journal%20of%20intelligent%20&%20robotic%20systems&rft.au=Li,%20Ling&rft.date=2021-10-01&rft.volume=103&rft.issue=2&rft.artnum=23&rft.issn=0921-0296&rft.eissn=1573-0409&rft_id=info:doi/10.1007/s10846-021-01482-3&rft_dat=%3Cgale_proqu%3EA724053336%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2569280118&rft_id=info:pmid/&rft_galeid=A724053336&rfr_iscdi=true