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Towards a Human-Centric Digital Twin for Human-Machine Collaboration: A Review on Enabling Technologies and Methods.
Krupas, Maros; Kajati, Erik; Liu, Chao; Zolotova, Iveta.
Afiliação
  • Krupas M; Department of Cybernetics and Artificial Intelligence, Faculty of EE & Informatics, Technical University of Kosice, 042 00 Kosice, Slovakia.
  • Kajati E; Department of Cybernetics and Artificial Intelligence, Faculty of EE & Informatics, Technical University of Kosice, 042 00 Kosice, Slovakia.
  • Liu C; College of Engineering and Physical Sciences, Aston University, Birmingham B47ET, UK.
  • Zolotova I; Department of Cybernetics and Artificial Intelligence, Faculty of EE & Informatics, Technical University of Kosice, 042 00 Kosice, Slovakia.
Sensors (Basel) ; 24(7)2024 Mar 30.
Article em En | MEDLINE | ID: mdl-38610442
ABSTRACT
With the intent to further increase production efficiency while making human the centre of the processes, human-centric manufacturing focuses on concepts such as digital twins and human-machine collaboration. This paper presents enabling technologies and methods to facilitate the creation of human-centric applications powered by digital twins, also from the perspective of Industry 5.0. It analyses and reviews the state of relevant information resources about digital twins for human-machine applications with an emphasis on the human perspective, but also on their collaborated relationship and the possibilities of their applications. Finally, it presents the results of the review and expected future works of research in this area.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comércio / Indústrias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comércio / Indústrias Idioma: En Ano de publicação: 2024 Tipo de documento: Article