Ecem Eroğlu TurhanlarBanu Yetkin Yetkin EkrenTone Lerher2025-10-06202413675567, 1469848X1367-55671469-848X10.1080/13675567.2022.2138290https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141141541&doi=10.1080%2F13675567.2022.2138290&partnerID=40&md5=a62ae0b02e19ef86841367f151b96f6chttps://gcris.yasar.edu.tr/handle/123456789/8353Recent dramatic increase in e-commerce has also increased the adoption of automation technologies in warehouses. Autonomous mobile robots (AMRs) are from those technologies widely utilized in warehouse operations. It is important to design the operation of those robotic systems in such a way that they meet the current and future system requirements correctly. In this paper we study flexible travel of AMRs in warehouses by developing smart deadlock and collision prevention algorithms on agent-based modelling. By that AMR agents can interact with each other and environment so that they can make smart decisions maximizing their goals. We compare the performance of the developed flexible travel system with non-flexible designs where there is a single AMR dedicated to a specific zone so that no deadlock or collision possibility takes place. The results show that AMRs may provide up to 39% improvement in the flexible system compared to its non-flexible design. © 2024 Elsevier B.V. All rights reserved.EnglishAgent-based Simulation, Autonomous Mobile Robots, Autonomous Vehicle, Deadlock And Collision, Deadlock PreventionArticle