Generation of Automatic Six-Legged Walking Behavior Using Genetic Algorithms

dc.contributor.authorMiandoab S.N.
dc.contributor.authorKiani F.
dc.contributor.authorUslu E.
dc.date.accessioned2024-03-13T10:00:54Z
dc.date.available2024-03-13T10:00:54Z
dc.date.issued2020
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description2020 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020 -- 24 August 2020 through 26 August 2020 -- -- 163005en_US
dc.description.abstractDesign and development of legged robots that can navigate effectively and autonomously in a wide range of environments is a challenging problem. At that point it should be noted that nature inspired optimization techniques have been widely studied for autonomous navigation of legged robots. In this study the framework constructed for six-legged walking behavior generation using genetic algorithms is presented and simulation results on Unity are discussed. © 2020 IEEE.en_US
dc.identifier.doi10.1109/INISTA49547.2020.9194620
dc.identifier.isbn9781728167992
dc.identifier.scopus2-s2.0-85091988337en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/INISTA49547.2020.9194620
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2845
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofINISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgait generationen_US
dc.subjectgait optimizationen_US
dc.subjectgenetic algorithmsen_US
dc.subjectsimulationen_US
dc.subjectsix-leggeden_US
dc.subjectUnityen_US
dc.subjectwalking behavioren_US
dc.titleGeneration of Automatic Six-Legged Walking Behavior Using Genetic Algorithmsen_US
dc.typeConference Objecten_US

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