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Advances in Artificial Intelligence in Manufacturing II

Proceedings of the 2nd European Symposium on Artificial Intelligence in Manufacturing, October 16, 2024, Athens, Greece

  • Conference proceedings
  • Open Access
  • © 2025

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Overview

Editors:
  1. Kosmas Alexopoulos

    1. Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece

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  2. Sotiris Makris

    1. Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece

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  3. Panagiotis Stavropoulos

    1. Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece

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  • This book is open access, which means that you have free and unlimited access
  • Reports on AI methods for manufacturing process monitoring, optimization and control
  • Covers advances in human-robot collaboration

Part of the book series: Lecture Notes in Mechanical Engineering (LNME)

Included in the following conference series:

Conference proceedings info: ESAIM 2024.

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About this book

This open access book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the second European Symposium on Artificial Intelligence in Manufacturing, held on October 16, 2024, in Athens, Greece, it reports on machine learning, deep learning and generative AI models for process monitoring, optimization, and control, flexible and precise industrial robots, human-robot collaboration, data management and information technologies, digital twins, data augmentation and synthetic data. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems, automation and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, system developers, AI scientists and industrial managers.

Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xvi
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  2. AI in Process Level

    1. Front Matter

      Pages 1-1
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    2. Digital Twins of Manufacturing Processes Under Industry 5.0

      • Alexios Papacharalampopoulos, Kyriakos Sabatakakis, Olga Maria Karagianni, Panagiotis Stavropoulos
      Pages 3-11Open Access
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    3. Recurrent Convolutional Neural Network Based Defect Detection in Submerged Arc Welding Processes

      • Estefanía Alexandra Tapia Suárez, Inés Pérez Couñago, Christian Eike Precker, Juan Manuel Montenegro Fernández, Santiago Muiños-Landín
      Pages 12-20Open Access
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    4. On the Use of Generative AI to Support In-Line Process Monitoring in Zero-Defect Manufacturing

      • Marco Grasso, Matteo Bugatti, Bianca Maria Colosimo
      Pages 21-30Open Access
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    5. Laser Metal Deposition (LMD) Process Monitoring: From 3D Visualization of Sensor Data Towards Anomaly Detection

      • Mikel Ayuso, Ander Muniategui, Aitor Aguirre-Ortuzar, Enaitz Ezpeleta
      Pages 31-39Open Access
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    6. An Explainable Active Learning Approach for Enhanced Defect Detection in Manufacturing

      • Nikolaos Nikolakis, Paolo Catti, Kosmas Alexopoulos
      Pages 40-47Open Access
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    7. Synthetic Data for AI-Powered Ultrafast Laser Based Micro-structuring Method Description

      • Beatriz Blanco-Filgueira, Tamara Delgado, Andrea Gregores Coto, Céline Petit, David Bruneel, Pablo Romero et al.
      Pages 48-59Open Access
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    8. Towards Explicable AI in Systemic Identification of Surrogate Models of Manufacturing Processes

      • Alexios Papacharalampopoulos, Christos Papaioannou, Olga Maria Karagianni, Panagiotis Stavropoulos
      Pages 60-68Open Access
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  3. AI in Equipment Level

    1. Front Matter

      Pages 69-69
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    2. Leveraging Generative AI for Synthetic Data Generation: Improving 6-DOF Pose Estimation in Assembly Systems

      • Christos Konstantinou, Nikos Kampouroglou, Nikos Theodoris, Fotis Basamakis, Christos Gkournelos, Sotiris Makris
      Pages 71-79Open Access
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    3. CPPM Copilot: Proposing an AI-Based Assistant for Manual Assembly Tasks in a Flexible Production

      • Jonathan Nussbaum, Tatjana Legler, Martin Ruskowski
      Pages 80-88Open Access
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    4. Generalized Authoring Tool for Computer Vision Machine Learning Application Deployments

      • Peter Stein, Jibinraj Antony, Simon Bergweiler, Christian Schorr
      Pages 89-97Open Access
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    5. Collaborative Learning in Shared Production Environment Using Federated Image Classification

      • Vinit Hegiste, Tatjana Legler, Martin Ruskowski
      Pages 98-106Open Access
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    6. An OPIS-Based Knowledge Engineering Framework for Collaborative Robotics

      • Elisa Foderaro, Alessandro Umbrico, Andrea Orlandini
      Pages 107-116Open Access
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    7. A Tool for Generating and Labelling Domain Randomised Synthetic Images for Object Recognition in Manufacturing

      • Giovanna Martínez-Arellano, Michael G. Buck
      Pages 117-124Open Access
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    8. Human-Robot Interaction Through Egocentric Hand Gesture Recognition

      • Snehal Walunj, Nazanin Mashhaditafreshi, Parsha Pahlevannejad, Achim Wagner, Martin Ruskowski
      Pages 125-133Open Access
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    9. Advanced Computer Vision for Industrial Safety: Indoor Human Worker Localization Using Deep Learning

      • Francesco Berardinucci, Marcello Urgo
      Pages 134-143Open Access
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  4. AI in System Level

    1. Front Matter

      Pages 145-145
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    2. LOS Data Set: A Large Scale Online Scheduling Benchmark for Flexible Job Shop Problems with Setup and Transportation Times

      • Katharina Hengel, Achim Wagner, Martin Ruskowski
      Pages 147-156Open Access
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Other volumes

  1. Advances in Artificial Intelligence in Manufacturing II

Editors and Affiliations

  • Laboratory for Manufacturing Systems and Automation, University of Patras, Patras, Greece

    Kosmas Alexopoulos, Sotiris Makris, Panagiotis Stavropoulos

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