Titlebook: Advances in Artificial Intelligence in Manufacturing; Proceedings of the 1 Achim Wagner,Kosmas Alexopoulos,Sotiris Makris Conference procee

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Parameter Identification in Manufacturing Systems Using Physics-Informed Neural Networksework results in more significant parameter uncertainties. Consequently, this prompts us to discuss the implications for experimental designs, system identification, and the pivotal role of smart data.

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Risk-Aware Task Sequencing for Human-Robot Collaborationvaluation across various scenarios showcases its efficacy and adaptability to diverse risk levels. Experimental results show a positive equilibrium between productivity and safety, achieving both high throughput and low operator risk.

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2195-4356 ecial emphasis to industrially-relevant solutions.This book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiser

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