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Erschienen in:
Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges

verfasst von : Rafal Cupek, Marek Drewniak, Marcin Fojcik, Erik Kyrkjebø, Jerry Chun-Wei Lin, Dariusz Mrozek, Knut Øvsthus, Adam Ziebinski

Erschienen in: Computational Science – ICCS 2020

Verlag: Springer International Publishing

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Abstract

Autonomous Guided Vehicles (AGVs) are considered to be one of the critical enabling technologies for smart manufacturing. This paper focus on the application of AGVs in new generations of manufacturing systems including: (i) the fusion between AGVs and collaborative robots; (ii) the application of machine to machine communication for integrating AGVs with the production environment and (iii) AI-driven analytics that is focused on the data that is produced and consumed by AGV. This work aims to evoke discussion and elucidate the current research opportunities, highlight the relationship between different subareas and suggest possible courses of action.

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Metadaten
Titel
Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
verfasst von
Rafal Cupek
Marek Drewniak
Marcin Fojcik
Erik Kyrkjebø
Jerry Chun-Wei Lin
Dariusz Mrozek
Knut Øvsthus
Adam Ziebinski
Copyright-Jahr
2020
Buch
Computational Science – ICCS 2020

Print ISBN: 978-3-030-50425-0

Electronic ISBN: 978-3-030-50426-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-50426-7_25