Extended Intelligence for Rapid Cognitive Reconfiguration
Abstract With today‘s trend toward mass customization, fast and efficient reconfiguration of manufacturing systems is essential. New artificial intelligence and robotics developments play a key role in optimizing these processes. AI-driven reconfigurations are becoming increasingly effective because of real-time data from digital twins and intuitive interaction through extended reality. This article presents an approach that integrates digital twins and extended reality in a reconfigurable manufacturing use case, laying the foundation for AI-driven optimization. It highlights potential industrial benefits, such as increased flexibility and reduced downtime, and provides an outlook on future developments.
Authors
- Jean-Rémy Chardonnet (ORCID: https://orcid.org/0000-0002-8926-1359)
- Alexander Puchta (ORCID: https://orcid.org/0000-0001-9975-7481)
- Anjela Mayer (ORCID: https://orcid.org/0000-0002-5426-3020)
- Jivka Ovtcharova (ORCID: https://orcid.org/0000-0002-7484-5204)
- Jürgen Fleischer
- S. Otto
Institutions
- Karlsruhe Institute of Technology (DE)
- FZI Research Center for Information Technology (DE)
- Arts et Métiers (FR)
- HESAM Université (FR)
- Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (FR)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1515/zwf-2024-0159
- Primary Topic
- Flexible and Reconfigurable Manufacturing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00