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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
Creator	Mrozek, Dariusz Cupek, Rafal Drewniak, Marek Fojcik, Marcin Kyrkjebø, Erik Lin, Chun-Wei Ziebinski, Adam
topic	covid:27787733f48ada485cf995839f1147c3e8324bab#this
source	PMC
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.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50426-7_25
has license	no-cc
sha1sum (hex)	27787733f48ada485cf995839f1147c3e8324bab
schema:url	https://doi.org/10.1007/978-3-030-50426-7_25
resource representing a document's title	Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
has PubMed Central identifier	PMC7302849
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:27787733f48ada485cf995839f1147c3e8324bab#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/27787733f48ada485cf995839f1147c3e8324bab
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