XR5.0: Human-Centric AI-Enabled Extended Reality Applications for Industry 5.0

Autor: Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Makridis, Dimosthenis Kyriazis, John Soldatos, George Fatouros, Dimitrios Ntalaperas, Xanthi Papageorgiou, Bruno Almeida, Joana Guedes, Pedro Malo, Jorge Oliveira, Sebastian Scholze, Antonio Rosinha, Joaquim Reis, Matteo Falsetta
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 314-323 (2024)
Druh dokumentu: article
ISSN: 2305-7254
2343-0737
DOI: 10.23919/FRUCT64283.2024.10749931
Popis: Applications for Extended Reality (XR) are rapidly expanding across a wide range of industries, including gaming, entertainment, and healthcare. Accompanying this trend is the field of digital manufacturing, which encompasses a broad range of applications such as quick product design, remote maintenance, production process simulation, employee safety, and training. Industrial personnel may benefit from ergonomic and user-friendly cyber-representations of production processes using XR applications, particularly in the industrial arena. These cyber-representations are utilized to create augmented environments for training, simulation, and testing. The wave of Industry 5.0 (I5.0) applications that are certain to be human-centric and emphasize trustworthy human-machine collaboration cannot be supported by current systems because of several issues, such as the requirement for individualized XR visualizations and new methods for world-building, content production, and flow control aspects of XR systems. The XR5.0 project is presented in this publication with the goal of addressing these issues and offering a revolutionary Person-Centric and AI-based XR paradigm that will be customized to the needs and characteristics of I5.0 applications. The project outlines the organizing concepts and guidelines for utilizing XR in I5.0 applications, with a focus on the creation of cutting-edge “XR-made-in-Europe” technology that complements human-centered manufacturing techniques and upholds European ideals. The associated applications consider the workers’ environment through the incorporation of human-centered digital twins (DTs), which make up the “digital image” of the workers. This allows for the simultaneous design and implementation of an innovative fusion of cutting-edge AI paradigms and XR technology. The added value of the XR5.0 project is discussed, and potential use cases and user journeys are analyzed, leading to a discussion of the project’s revolutionary benefits and additional steps that should be taken.
Databáze: Directory of Open Access Journals