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Extended Intelligence for Rapid Cognitive Reconfiguration

Article dans une revue avec comité de lecture
Author
ccMAYER, Anjela
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
469668 Institut für Informationsmanagement im Ingenieurwesen [IMI]
OTTO, Simon
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
ccCHARDONNET, Jean-Rémy
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccPUCHTA, Alexander
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
ccFLEISCHER, Jürgen
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
ccOVTCHAROVA, Jivka
150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]
469668 Institut für Informationsmanagement im Ingenieurwesen [IMI]

URI
http://hdl.handle.net/10985/26241
DOI
10.1515/zwf-2024-0159
Date
2025-03-27
Journal
Zeitschrift für wirtschaftlichen Fabrikbetrieb

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.

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