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

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 m...

Descripción completa

Detalles Bibliográficos
Autores principales: Cupek, Rafal, Drewniak, Marek, Fojcik, Marcin, Kyrkjebø, Erik, Lin, Jerry Chun-Wei, Mrozek, Dariusz, Øvsthus, Knut, Ziebinski, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302849/
http://dx.doi.org/10.1007/978-3-030-50426-7_25
_version_ 1783547935116492800
author Cupek, Rafal
Drewniak, Marek
Fojcik, Marcin
Kyrkjebø, Erik
Lin, Jerry Chun-Wei
Mrozek, Dariusz
Øvsthus, Knut
Ziebinski, Adam
author_facet Cupek, Rafal
Drewniak, Marek
Fojcik, Marcin
Kyrkjebø, Erik
Lin, Jerry Chun-Wei
Mrozek, Dariusz
Øvsthus, Knut
Ziebinski, Adam
author_sort Cupek, Rafal
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7302849
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-73028492020-06-19 Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges Cupek, Rafal Drewniak, Marek Fojcik, Marcin Kyrkjebø, Erik Lin, Jerry Chun-Wei Mrozek, Dariusz Øvsthus, Knut Ziebinski, Adam Computational Science – ICCS 2020 Article 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. 2020-05-25 /pmc/articles/PMC7302849/ http://dx.doi.org/10.1007/978-3-030-50426-7_25 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Cupek, Rafal
Drewniak, Marek
Fojcik, Marcin
Kyrkjebø, Erik
Lin, Jerry Chun-Wei
Mrozek, Dariusz
Øvsthus, Knut
Ziebinski, Adam
Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title_full Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title_fullStr Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title_full_unstemmed Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title_short Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
title_sort autonomous guided vehicles for smart industries – the state-of-the-art and research challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302849/
http://dx.doi.org/10.1007/978-3-030-50426-7_25
work_keys_str_mv AT cupekrafal autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT drewniakmarek autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT fojcikmarcin autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT kyrkjebøerik autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT linjerrychunwei autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT mrozekdariusz autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT øvsthusknut autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges
AT ziebinskiadam autonomousguidedvehiclesforsmartindustriesthestateoftheartandresearchchallenges

Ejemplares similares