2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) 2021
DOI: 10.1109/isie45552.2021.9576361
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Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments

Abstract: Digital Twins are increasingly being introduced for smart manufacturing systems to improve the efficiency of the main disciplines of such systems. Formal techniques, such as graphs, are a common way of describing Digital Twin models, allowing broad types of tools to provide Digital Twin based services such as fault detection in production lines. Obtaining correct and complete formal Digital Twins of physical systems can be a complicated and time consuming process, particularly for manufacturing systems with pl… Show more

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Cited by 11 publications
(3 citation statements)
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“…subject purpose trucks [98] predict failures, plan maintenance electric vehicle, charging piles [83] evaluate efficiency of charging policies softwaredefined vehicular networks [105] verify routing schemes automated guided vehicle, factory floor [94] reduce collisions between multiple vehicles solar car [96] estimate energy consumption automated guided vehicle [95] ease development of robots, raise alerts when robot and simulation behaviour diverge autonomous haulers [97] identify potential platooning threats hybrid electric vehicle [100] notify drivers about failures vehicles, road [71] detect diversions, detect red light running, detect illegal parking vehicular edge networks [106] detect suspicious objects and behaviour vehicles [101] detect GNSS attacks agricultural vehicle [107] correct steering direction electric vehicle [103] predict energy consumption vehicles [104] detect unsafe traffic events vehicles, traffic [82] propose eco-routing strategies, mitigate carbon emissions [91].…”
Section: Table IV Applications Of Vehicle Digital Twins (Sans Trains)mentioning
confidence: 99%
“…subject purpose trucks [98] predict failures, plan maintenance electric vehicle, charging piles [83] evaluate efficiency of charging policies softwaredefined vehicular networks [105] verify routing schemes automated guided vehicle, factory floor [94] reduce collisions between multiple vehicles solar car [96] estimate energy consumption automated guided vehicle [95] ease development of robots, raise alerts when robot and simulation behaviour diverge autonomous haulers [97] identify potential platooning threats hybrid electric vehicle [100] notify drivers about failures vehicles, road [71] detect diversions, detect red light running, detect illegal parking vehicular edge networks [106] detect suspicious objects and behaviour vehicles [101] detect GNSS attacks agricultural vehicle [107] correct steering direction electric vehicle [103] predict energy consumption vehicles [104] detect unsafe traffic events vehicles, traffic [82] propose eco-routing strategies, mitigate carbon emissions [91].…”
Section: Table IV Applications Of Vehicle Digital Twins (Sans Trains)mentioning
confidence: 99%
“…DT enables simulation and optimization of manufacturing system in a digital platform [8]. In development of AGVs, DT can be used to model the physical operation environment to develop navigation and localization software and test of operation safety as well [9][10].…”
Section: ) Use Of Digital Twin Modelling In Agv Controlmentioning
confidence: 99%
“…The review of how automation and robots contribute to the increased profit demand by offering lower production costs, shorter delivery times, improved quality and higher customer satisfaction, is presented in [11]. The paper [12] focuses on developing Digital Twins for flexible manufacturing systems with AGVs on the factory floor.…”
Section: Introductionmentioning
confidence: 99%