Overview
- 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
Part of the book series: Lecture Notes in Mechanical Engineering (LNME)
Included in the following conference series:
Conference proceedings info: ESAIM 2023.
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About this book
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.
Keywords
- 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
Table of contents (19 papers)
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Artificial Intelligence at Manufacturing Process Level
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Back Matter
Other volumes
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Advances in Artificial Intelligence in Manufacturing
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Artificial Intelligence in Manufacturing
Book Subtitle: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany
Editors: Achim Wagner, Kosmas Alexopoulos, Sotiris Makris
Series Title: Lecture Notes in Mechanical Engineering
DOI: https://doi.org/10.1007/978-3-031-57496-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-57495-5Published: 27 June 2024
eBook ISBN: 978-3-031-57496-2Published: 26 June 2024
Series ISSN: 2195-4356
Series E-ISSN: 2195-4364
Edition Number: 1
Number of Pages: XV, 196
Number of Illustrations: 10 b/w illustrations, 80 illustrations in colour
Topics: Robotics and Automation, Industrial and Production Engineering, Signal, Image and Speech Processing, Industrial Chemistry/Chemical Engineering