A Bibliometric Review on Augmented Intelligence Systems Enabled by Industry 4.0 Technologies.

Autor: Rodríguez-Gasca, Mariannys, Corvelho, Flávia Motta, Macêdo Barbalho, Sanderson César
Předmět:
Zdroj: IEOM South American Conference Proceedings; 5/7/2024, p379-389, 11p
Abstrakt: Industry 4.0 is characterized by the agility and flexibility that new technologies can provide to production processes based on automation and integrating two systems. Despite this, human operators remain essential due to their creativity, dynamics, and adaptability, which make them difficult to replace. In this sense, human-robot collaboration systems or augmented intelligence technologies emerge as promising approaches by integrating the human and technological capabilities of industry 4.0. to achieve superior performance. This panorama motivates research on current collaboration systems between humans and machines. This study conducted a bibliometric analysis of scientific research on human-machine collaboration systems in Industry 4.0. For this objective, the Scopus platform was used as a database, and the VOSviewer software was used for analysis. Key findings reveal important publications, implications, and trends in human-robot collaboration systems. In particular, it was observed that there is a growing interest in ergonomic aspects, the safety and well-being of workers, together with technical efficiency. Assembly line applications are prominent and leverage human-digital synergy to improve decision-making. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index