<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The Industry 4.0 vision anticipates that internet technologies will find their way into future factories replacing traditional components by dynamic and intelligent cyber-physical systems (CPS) that combine the physical objects with their digital representation. Reducing the gap between the real and digital world makes the factory environment more flexible, more adaptive, but also more complex for the human workers. Future workers require interdisciplinary competencies from engineering, information technology, and computer science in order to understand and manage the diverse interrelations between physical objects and their digital counterpart. This paper proposes a mixed-reality based learning environment, which combines physical objects and visualisation of digital content via Augmented Reality. It uses reality-based interaction in order to make the dynamic interrelations between real and digital factory visible and tangible. We argue that our learning system does not work as a stand-alone solution, but should fit into existing academic and advanced training curricula.</p></abstract>

The Industry 4.0 vision anticipates that internet technologies will find their way into future factories replacing traditional components by dynamic and intelligent cyber-physical systems (CPS) that combine the physical objects with their digital representation. Reducing the gap between the real and digital world makes the factory environment more flexible, more adaptive, but also more complex for the human workers. Future workers require interdisciplinary competencies from engineering, information technology, and computer science in order to understand and manage the diverse interrelations between physical objects and their digital counterpart. This paper proposes a mixed-reality based learning environment, which combines physical objects and visualisation of digital content via Augmented Reality. It uses reality-based interaction in order to make the dynamic interrelations between real and digital factory visible and tangible. We argue that our learning system does not work as a stand-alone solution, but should fit into existing academic and advanced training curricula.

In-Factory Learning – Qualification For The Factory Of The Future

Innovative Factory Systems, German Research Center for Artificial Intelligence DFKI, Kaiserslautern, Germany

Acta Universitatis Cibiniensis. Technical Series

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"In-Factory Learning \u2013 Qualification For The Factory Of The Future"}

The Industry 4.0 vision anticipates that internet technologies will find their way into future factories replacing traditional components by dynamic and...

In-Factory Learning – Qualification For The Factory Of The Future

Online veröffentlicht: 23. Sept. 2015

Seitenbereich: 159 - 164

DOI: https://doi.org/10.1515/aucts-2015-0046

Schlüsselwörter
Training Systems, Advanced Interaction, Digital Factory, Factory of the Future, Virtual Reality, Industry 4.0

© Quint Fabian et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In-Factory Learning – Qualification For The Factory Of The Future

Online veröffentlicht: 23. Sept. 2015

Seitenbereich: 159 - 164

DOI: https://doi.org/10.1515/aucts-2015-0046

SchlüsselwörterTraining Systems, Advanced Interaction, Digital Factory, Factory of the Future, Virtual Reality, Industry 4.0

© Quint Fabian et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Training Systems, Advanced Interaction, Digital Factory, Factory of the Future, Virtual Reality, Industry 4.0