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Explore a conference talk examining the potential of Kubernetes in manufacturing systems, specifically for laser-based manufacturing. Delve into the challenges faced by modern manufacturing machines due to increased sensor and camera usage, and how a distributed Kubernetes-based control system can address these issues. Learn about the research conducted by the RWTH Chair for Laser Technology team, focusing on data aggregation, machine control in a distributed environment, and dynamic injection of data analytics at the edge. Gain insights into the current state of the system, its architecture, and the advantages and disadvantages of implementing Kubernetes for manufacturing machine control.
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