Robotic Navigation and Computer Vision Artificial Intelligence Systems, Image Processing Computational and Spatio-Temporal Fusion Algorithms, and Deep Generative Modeling and 3D Simulation Tools in Digital Twin Factories and Interactive Industrial M.
Robotic Navigation and Computer Vision Artificial Intelligence Systems, Image Processing Computational and Spatio-Temporal Fusion Algorithms, and Deep Generative Modeling and 3D Simulation Tools in Digital Twin Factories and Interactive Industrial M.

Summary/Abstract: The aim of this systematic review is to synthesize and analyze robotic navigation and computer vision artificial intelligence systems, semantic 3D mapping and predictive maintenance algorithms, multiple autonomous mobile robots, and context modeling and digital twin simulation tools. A quantitative literature review of ProQuest, Scopus, and the Web of Science was carried out throughout January 2023, with search terms including “digital twin factories and interactive industrial metaverse” + “robotic navigation and computer vision artificial intelligence systems,” “image processing computational and spatio-temporal fusion algorithms,” and “deep generative modeling and 3D simulation tools.” As research published in 2022 and 2023 was inspected, only 167 articles satisfied the eligibility criteria, and 19 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: Abstrackr, AXIS, Catchii, R package and Shiny app citationchaser, JBI SUMARI, and Litstream.

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