CONECT4: Desarrollo de componentes basados en Realidad Mixta, Realidad Virtual Y Conocimiento Experto para generaci\'on de entornos de aprendizaje Hombre-M\'aquina
Santiago Gonz\'alez, Alvaro Garc\'ia, Ana N\'u\~nez

TL;DR
CONECT4 develops innovative non-intrusive communication methods using Augmented Reality, Virtual Reality, Digital Twins, and expert knowledge to enhance human-machine learning ecosystems for predictive maintenance in the automotive industry.
Contribution
This work introduces new methodologies integrating AR, VR, and Digital Twins for industrial training and knowledge management, with solutions applicable across various sectors.
Findings
Improved training efficiency in automotive companies.
Low-maturity technological systems effectively support operator assistance.
Results are transferable to other industrial sectors.
Abstract
This work presents the results of project CONECT4, which addresses the research and development of new non-intrusive communication methods for the generation of a human-machine learning ecosystem oriented to predictive maintenance in the automotive industry. Through the use of innovative technologies such as Augmented Reality, Virtual Reality, Digital Twin and expert knowledge, CONECT4 implements methodologies that allow improving the efficiency of training techniques and knowledge management in industrial companies. The research has been supported by the development of content and systems with a low level of technological maturity that address solutions for the industrial sector applied in training and assistance to the operator. The results have been analyzed in companies in the automotive sector, however, they are exportable to any other type of industrial sector. -- -- En esta…
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Taxonomy
TopicsDigital Transformation in Industry · Manufacturing Process and Optimization
