Cloud Based Indoor Navigation for ROS-enabled Automated Guided Vehicles

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dc.authoridKocamaz, Adnan Fatih/0000-0002-7729-8322
dc.authoridOKUMUS, Aysegul/0000-0001-5409-4880
dc.authoridOKUMUS, FATIH/0000-0003-3046-9558
dc.authorwosidKocamaz, Adnan Fatih/C-2820-2014
dc.authorwosidOkumuş, Fatih/IZE-0001-2023
dc.authorwosidOkumuş, Fatih/AAK-1249-2020
dc.authorwosidOkumuş, Fatih/GWQ-5368-2022
dc.contributor.authorOkumus, Fatih
dc.contributor.authorKocamaz, Adnan Fatih
dc.date.accessioned2024-08-04T20:57:26Z
dc.date.available2024-08-04T20:57:26Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn Cyber-Physical Systems, logistical activities with automatic guided vehicles (AGV) are indispensable for Industry 4.0 integration. In order to navigate the AGVs to be used in logistics, difficulties such as localization of AGV, mapping the environment, mobile-immobile obstacle avoidance, and optimum task allocation must be overcome. All these operations can be realized with an architecture that provides communication infrastructure and management mechanism in multiple robots. In this publication, cloud-based, ROS-enabled communication and navigation methods for multiple AGVs are proposed. The proposed method was tested and applied successfully in a laboratory environment.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875993
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875993
dc.identifier.urihttps://hdl.handle.net/11616/102614
dc.identifier.wosWOS:000591781100119en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCyber-physical systemsen_US
dc.subjectAGVen_US
dc.subjectnavigationen_US
dc.subjectROSen_US
dc.subjectcloud roboticsen_US
dc.titleCloud Based Indoor Navigation for ROS-enabled Automated Guided Vehiclesen_US
dc.typeConference Objecten_US

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