2026-04-14T02:53:33Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3864372025-07-22T20:19:11Zcom_2072_1033col_2072_452951

Resource management of AGV systems: a reinforcement learning approach Musicò, Emanuele Universitat Politècnica de Catalunya. Departament de Matemàtiques Università degli Studi di Napoli Federico II Olm Miras, Josep Maria Suárez Feijóo, Raúl Iudice, Francesco Lo Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria Business logistics -- Automation -- Equipment and supplies Robots -- Control systems -- Mathematical models Reinforcement learning -- Industrial applications -- Software Logística (Indústria) -- Automatització -- Aparells i accessoris Robots -- Sistemes de control -- Models matemàtics Aprenentatge per reforç -- Aplicacions industrials -- Programari This project deals with the problem of an AGV that has to complete a tour within a factory without getting out of charge. Hence, the AGV is supposed to recharge at the charging stations located in the factory. A reinforcement learning scheme will be developed so that the AGV decides where to charge in an optimal way, that is, minimizing the total travelling time. 2023-01-20 Tutored research work https://hdl.handle.net/2117/386437 ETSEIB-240.174094 eng Open Access application/pdf Universitat Politècnica de Catalunya