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dc.contributor.advisorHåkansson, Anne
dc.contributor.authorMundt, Thomas
dc.date.accessioned2025-05-26T14:14:52Z
dc.date.available2025-05-26T14:14:52Z
dc.date.issued2022-05-23
dc.description.abstractIndustry 4.0 introduces a new approach to manufacturing, focusing on connecting and automating machines. Automated vehicles that can operate in a dynamic environment, will enable the move towards Industry 4.0 to require less manual effort. The approach will be to create a simulation of an environment, with several Automated Guided Vehicles, that use a reinforcement learning system to avoid collisions, and continuously learn and adapt to changes in the environment. The expected result would be agents that are able to adapt and learn in the environment.en_US
dc.identifier.urihttps://hdl.handle.net/10037/37138
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.holderCopyright 2022 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDINF-3990
dc.titleAutomated Guided Vehicle Collision Avoidance with Reinforcement Learningen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)