J 2024

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

LĂZĂROIU, George, Tom GEDEON, Katarina VALASKOVA, Jaromír VRBKA, Petr ŠULEŘ et. al.

Základní údaje

Originální název

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

Název česky

Kognitivní digitální dvojčata založená na internetu robotických věcí, vícesmyslová rozšířená realita a technologie simulačního modelování a generativní umělá inteligence a kyberneticko-fyzické výrobní systémy v imerzivním průmyslovém metaversu.

Autoři

LĂZĂROIU, George (garant), Tom GEDEON, Katarina VALASKOVA, Jaromír VRBKA (203 Česká republika, domácí), Petr ŠULEŘ (203 Česká republika, domácí), Katarina ZVARIKOVA, Katarina KRAMAROVA, Zuzana ROWLAND (203 Česká republika, domácí), Vojtěch STEHEL (203 Česká republika, domácí), Lubica GAJANOVA, Jakub HORÁK (203 Česká republika, domácí), Marian GRUPAC, Zdeněk CAHA (203 Česká republika, domácí), Roman BLAZEK, Erika KOVALOVA a Marek NAGY

Vydání

Equilibrium - Quarterly Journal of Economics and Economic Policy, Torun, Poland, Institute of Economic Research, 2024, 1689-765X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova česky

kognitivní digitální dvojče; kyberneticko-fyzikální výrobní systém; rozšířená realita; generativní umělá inteligence; imerzivní průmyslové metavesmír; internet robotických věcí; senzor; simulační modelování.

Klíčová slova anglicky

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

Štítky

Změněno: 22. 10. 2024 15:47, Barbora Kroupová

Anotace

V originále

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 sys-tems, 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 per-formance. 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.

Přiložené soubory

Cognitive_digital_twin-based_Internet_of_Robotic_Things.pdf
Požádat o autorskou verzi souboru