Path planning of mobile robots with Q-learning

dc.contributor.authorCetin, Halil
dc.contributor.authorDurdu, Akif
dc.date.accessioned2020-03-26T18:51:59Z
dc.date.available2020-03-26T18:51:59Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.description.abstractRobotic systems which rapidly continue its development are increasingly used in our daily life. Mobile robots both draw the map where they may move in their environment and reach to the determined target in the shortest time by going on the shortest way in their prepared map. In this paper, Q-learning-based path planning algorithm is presented to find a target in the maps which are obtained by mobile robots. Q-learning is a kind of reinforcement learning algorithm that detects its environment and shows a system which makes decisions itself that how it can learn to make true decisions about reaching its target. The fact that a mobile robot truly finds targets that are located on different points in a few sample maps by processing our proposed Q-learning-based path planning algorithm is shown at the end of the paper.en_US
dc.description.sponsorshipIEEE, Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.identifier.endpage2165en_US
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608en_US
dc.identifier.startpage2162en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31057
dc.identifier.wosWOS:000356351400520en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectQ-learningen_US
dc.subjectsimultaneously localization and mappingen_US
dc.subjectpath planningen_US
dc.titlePath planning of mobile robots with Q-learningen_US
dc.typeConference Objecten_US

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