A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines

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dc.contributor.authorÇoban, Mustafa
dc.contributor.authorGelen, Gökhan
dc.date.accessioned2026-02-08T15:08:26Z
dc.date.available2026-02-08T15:08:26Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractAutomated guided vehicles are transportation systems that are widely used in factories, warehouses, and distribution centers. It is of great importance to ensure the control and coordination of vehicles for safe and efficient transportation in multi-vehicle systems. In this study, a control strategy is proposed to enforce collision avoidance of automated guided vehicles operating in a shared zone and overlapping route environment. In the proposed method, while finite state machines are used to model the movement of automated guided vehicles in the environment, the Q-learning method, one of the most common reinforcement learning algorithms, is used for collision avoidance. The presented approach uses the decentralized node-based approach to reduce computational complexity. The proposed method has been validated through simulation performed with vehicle applications that can move both unidirectional and bidirectional. The simulation results show that our presented approach can avoid potential collisions and greatly increase overall efficiency.
dc.identifier.doi10.38088/jise.1482853
dc.identifier.endpage198
dc.identifier.issn2602-4217
dc.identifier.issue2
dc.identifier.startpage179
dc.identifier.trdizinid1294093
dc.identifier.urihttps://doi.org/10.38088/jise.1482853
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5028
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of Innovative Science and Engineering (JISE)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260207
dc.subjectReinforcement learning
dc.subjectCollision avoidance
dc.subjectAutomated guided vehicle
dc.subjectFinite state machines
dc.titleA New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines
dc.typeArticle

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