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Resilient Manufacturing Through 6G Mechanisms: Handling of Unexpected Situations in Industrial Environments

Sokratis Barmpounakis, Antonis Karaolanis, Panagiotis Demestichas, Frédéric Faucheux, Bessem Sayadi

Year
2023
Citations
3

Abstract

Emerging demands across diverse industry sectors, notably in manufacturing, are ushering in a new era of unprecedented challenges. These challenges necessitate a resilient and robust infrastructure extending from the Far Edge to the Cloud. In the realm of future 6G wireless networks, we anticipate a transformative shift beyond the conventional devices and respective capabilities, as well as unparalleled flexibility, trustworthiness, and robustness in the orchestration of automated and resource efficient operations and workloads. This demo shows in an industrial use case, comprising collaborative robots (cobots) cooperating in conducting automated tasks, how advanced mechanisms, leveraging the far edge - cloud continuum resources, along with advanced monitoring-as-a-service capabilities (MaaS), Artificial Intelligence/Machine Learning (AI/ML), Digital Twinning and eXtended Reality (XR) technologies, can enable advanced observability, efficiency and robustness to the overall system, as well as immersive experience to the industrial worker/user.

Keywords

Cloud computingComputer scienceRobustness (evolution)Industry 4.0Edge computingTestbedWorkflowRobotDistributed computingArtificial intelligence

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