Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse

George Lazaroiu; Tom Gedeon; Katarina Valaskova; Jaromír Vrbka; Petr Šuleř; Katarina Zvarikova; Katarina  Kramarova; Zuzana Rowland; Vojtěch Stehel; Lubica Gajanova; Jakub Horák; Marian Grupac; Zdeněk Caha; Roman Blazek; Erika Kovalova; Marek Nagy

doi:10.24136/eq.3131

Authors

George Lazaroiu Curtin University https://orcid.org/0000-0002-3422-6310
Tom Gedeon Curtin University https://orcid.org/0000-0001-8356-4909
Katarina Valaskova University of Zilina https://orcid.org/0000-0003-4223-7519
Jaromír Vrbka Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0002-6356-4810
Petr Šuleř Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0001-7562-0659
Katarina Zvarikova University of Zilina https://orcid.org/0000-0001-5278-9275
Katarina Kramarova University of Zilina https://orcid.org/0000-0001-6883-3541
Zuzana Rowland Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0002-7792-8873
Vojtěch Stehel Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0001-6068-6794
Lubica Gajanova University of Zilina https://orcid.org/0000-0001-9242-5898
Jakub Horák Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0001-6364-9745
Marian Grupac University of Zilina https://orcid.org/0000-0002-2832-2883
Zdeněk Caha Institute of Technology and Business in Ceské Budejovice https://orcid.org/0000-0003-2363-034X
Roman Blazek University of Zilina https://orcid.org/0000-0002-8054-9540
Erika Kovalova University of Zilina https://orcid.org/0000-0002-3635-4332
Marek Nagy University of Zilina https://orcid.org/0000-0003-0740-6268

DOI:

https://doi.org/10.24136/eq.3131

Keywords:

cognitive digital twin, Internet of Robotic Things, sensor, extended reality, simulation modeling, generative artificial intelligence, cyber–physical manufacturing system, immersive industrial metaverse

Abstract

Research background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data and real-time event analytics, and machine and deep learning algorithms articulate digital twin smart factories in relation to deep learning-assisted smart process planning, Internet of Things (IoT)-based real-time production logistics, and enterprise resource coordination. Robotic cooperative behaviors and 3D assembly operations in collaborative industrial environments require ambient environment monitoring and geospatial simulation tools, computer vision and spatial mapping algorithms, and generative artificial intelligence (AI) planning software. Flexible industrial and cloud computing environments necessitate sensing and actuation capabilities, cognitive data visualization and sensor fusion tools, and image recognition and computer vision technologies so as to lead to tangible business outcomes.

Purpose of the article: We show that generative AI and cyber–physical manufacturing systems, fog and edge computing tools, and task scheduling and computer vision algorithms are instrumental in the interactive economics of industrial metaverse. Generative AI-based digital twin industrial metaverse develops on IoRT and production management systems, multi-sensory extended reality and simulation modeling technologies, and machine and deep learning algorithms for big data-driven decision-making and image recognition processes. Virtual simulation modeling and deep reinforcement learning tools, autonomous manufacturing and virtual equipment systems, and deep learning-based object detection and spatial computing technologies can be leveraged in networked immersive environments for industrial big data processing.

Methods: Evidence appraisal checklists and citation management software deployed for justifying inclusion or exclusion reasons and data collection and analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, and Systematic Review Toolbox.

Findings & value added: Modal actuators and sensors, robot trajectory planning and computational intelligence tools, and generative AI and cyber–physical manufacturing systems enable scalable data computation processes in smart virtual environments. Ambient intelligence and remote big data management tools, cloud-based robotic cooperation and industrial cyber-physical systems, and environment mapping and spatial computing algorithms improve IoT-based real-time production logistics and cooperative multi-agent controls in smart networked factories. Context recognition and data acquisition tools, generative AI and cyber–physical manufacturing systems, and deep and machine learning algorithms shape smart factories in relation to virtual path lines, collision-free motion planning, and coordinated and unpredictable smart manufacturing and robotic perception tasks, increasing economic performance. This collective writing cumulates and debates upon the most recent and relevant literature on cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative AI and cyber–physical manufacturing systems in the immersive industrial metaverse by use of evidence appraisal checklists and citation management software.

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Zheng, T., Grosse, E. H., Morana, S., & Glock, C. H. (2024). A review of digital assistants in production and logistics: applications, benefits, and challenges. International Journal of Production Research.

DOI: https://doi.org/10.1080/00207543.2024.2330631
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Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse

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