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dc.contributor.authorKocer, BB
dc.contributor.authorOrr, L
dc.contributor.authorStephens, B
dc.contributor.authorKaya, YF
dc.contributor.authorBuzykina, T
dc.contributor.authorKhan, A
dc.contributor.authorKovac, M
dc.date.accessioned2022-11-07T11:34:02Z
dc.date.available2022-11-07T11:34:02Z
dc.date.issued2022-04-20
dc.identifier.isbn9781665452014
dc.identifier.urihttp://hdl.handle.net/10026.1/19861
dc.description.abstract

This study proposes aerial robots utilizing repair operations at height for wind turbines. It is aimed to decrease the risks for human health for a repair operation in risky environments. We address the wind turbine repair problem by proposing a new aerial manipulator that can leverage online detection and decision making. Our proposed system can help to reduce the time and costs for infrastructure maintenance when autonomous aerial robots are deployed intelligently.

dc.format.extent226-227
dc.language.isoen
dc.publisherIEEE
dc.subject40 Engineering
dc.subject46 Information and Computing Sciences
dc.subject4007 Control Engineering, Mechatronics and Robotics
dc.subject4602 Artificial Intelligence
dc.subject4605 Data Management and Data Science
dc.subject7 Affordable and Clean Energy
dc.titleAn Intelligent Aerial Manipulator for Wind Turbine Inspection and Repair
dc.typeconference
dc.typeProceedings Paper
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000839154900044&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2022-04-20
plymouth.date-finish2022-04-22
plymouth.volume00
plymouth.publisher-urlhttp://dx.doi.org/10.1109/control55989.2022.9781451
plymouth.conference-name2022 UKACC 13th International Conference on Control (CONTROL)
plymouth.publication-statusPublished
plymouth.journal2022 UKACC 13th International Conference on Control (CONTROL)
dc.identifier.doi10.1109/control55989.2022.9781451
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2022-05-01
dc.rights.embargodate2022-5-27
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectA Drone Platform for Autonomous Inspection and Repair of ORE Devices
rioxxterms.versionofrecord10.1109/control55989.2022.9781451
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract
plymouth.funderA Drone Platform for Autonomous Inspection and Repair of ORE Devices::Engineering and Physical Sciences Research Council


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