Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review

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dc.contributor.authorJuříček, Martincs
dc.contributor.authorParák, Romancs
dc.contributor.authorKůdela, Jakubcs
dc.coverage.issue12cs
dc.coverage.volume11cs
dc.date.accessioned2024-02-22T12:46:33Z
dc.date.available2024-02-22T12:46:33Z
dc.date.issued2023-12-04cs
dc.description.abstractThe significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in industry. Evolutionary computation (EC) techniques are optimization methods that have found their use in diverse engineering fields. This state-of-the-art review focuses on recent developments and progress in their applications for industrial robotics, especially for path planning problems that need to satisfy various constraints that are implied by both the geometry of the robot and its surroundings. We discuss the most-used EC method and the modifications that suit this particular purpose, as well as the different simulation environments that are used for their development. Lastly, we outline the possible research gaps and the expected directions future research in this area will entail.en
dc.formattextcs
dc.format.extent1-23cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationComputation. 2023, vol. 11, issue 12, p. 1-23.en
dc.identifier.doi10.3390/computation11120245cs
dc.identifier.issn2079-3197cs
dc.identifier.orcid0000-0002-7943-8659cs
dc.identifier.orcid0000-0002-2715-7820cs
dc.identifier.orcid0000-0002-4372-2105cs
dc.identifier.other187199cs
dc.identifier.researcheridAEA-4340-2022cs
dc.identifier.researcheridP-7327-2018cs
dc.identifier.scopus57225925410cs
dc.identifier.scopus56769626500cs
dc.identifier.urihttps://hdl.handle.net/11012/245183
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofComputationcs
dc.relation.urihttps://www.mdpi.com/2079-3197/11/12/245cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2079-3197/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectevolutionary computationen
dc.subjectevolutionary algorithmsen
dc.subjectpath planningen
dc.subjectindustrial robotsen
dc.subjectrobot manipulatorsen
dc.titleEvolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Reviewen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-187199en
sync.item.dbtypeVAVen
sync.item.insts2024.02.22 13:46:33en
sync.item.modts2024.02.22 13:14:10en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatikycs
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