Context-aware Augmented Reality and Mobile Robotic Manufacturing Systems, 3D Computer Vision-based Production and Machine Intelligence Technologies, and Remote Sensing and Digital Twin Simulation Tools for Virtual Factories
Context-aware Augmented Reality and Mobile Robotic Manufacturing Systems, 3D Computer Vision-based Production and Machine Intelligence Technologies, and Remote Sensing and Digital Twin Simulation Tools for Virtual Factories
Author(s): Teodor Sedlarski, Alice AlAkoum, Andreea-Ligia Drugău Constantin, Mihaela MelenciucSubject(s): Information Architecture, Electronic information storage and retrieval, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: context-aware augmented reality; mobile robotic manufacturing; 3D computer vision-based production; digital twin simulation; virtual factories; industrial metaverse;
Summary/Abstract: Despite the relevance of virtual 3D scene simulation and industrial robotic systems, digital twin-enabled edge and industrial artificial Internet of Things networks, and deep learning-based ambient sound processing and cloud-based object tracking tools, only limited research has been conducted on this topic. Throughout June 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the interactive industrial metaverse” + “context-aware augmented reality and mobile robotic manufacturing systems,” “3D computer vision-based production and machine intelligence technologies,” and “remote sensing and digital twin simulation tools.” As research published in 2022 and 2023 was inspected, only 171 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: BIBOT, Eppi-Reviewer, METAGEAR package for R, SluRp, SWIFTActive Screener, and Systematic Review Accelerator.
Journal: Economics, Management, and Financial Markets
- Issue Year: 18/2023
- Issue No: 4
- Page Range: 54-68
- Page Count: 15
- Language: English
- Content File-PDF
