Advances in Artificial Intelligence in Manufacturing
Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany
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Beschreibung
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 Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers.
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 Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers.
Reports on AI methods for manufacturing process monitoring, optimization and control Covers advances in human-robot collaboration Gives a special emphasis to industrially-relevant solutions
Autor*in
Achim Wagner
Themen in »Advances in Artificial Intelligence in Manufacturing«
Digital Twin in Manufacturing Machine Learning for Quality Inspection AI in Human-Robot Interaction Human-Robot Collaboration AI in Manufacturing Processes Big Data Management in Manufacturing Neural Networks for Fault Detection Surrogate Models in Manufacturing Industrial Data Clustering Automated Quality Control