Innovative Factory Systems

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1. Monireh Pourjafarian; Christiane Plociennik; Simon Bergweiler; Nastaran Moarefvand; Jonas Brozeit; Mahdi Rezapour; Martin Ruskowski (Hrsg.)

   An ODP-based Ontology for the Digital Product Passport

   CIRP Conference on Life Cycle Engineering (CIRP LCE-2025), 32nd CIRP Conference on Life Cycle Engineering, located at LCE2025, April 7-9, The University of Manchester, United Kingdom, DFKI Research Reports (RR), Elsevier B.V. Procedia CIRP, 5/2025.

2. Juliano B. Araujo; Annalisa Nolte; Holger Berg; Monika Dittrich; Kathrin Greiff; Christiane Plociennik; André Pomp; Tobias Viere

   A Typology for Circular Economy Data

   In: Journal of Circular Economy, Vol. 3, Pages 1-22, Roskilde University (RUC), 4/2025.

3. Martina Hutter-Mironovova; Benjamin Blumhofer; Christopher Schneider; Achim Wagner

   Behavior Tree as a Decision Planning Algorithm for Industrial Robot

   In: Leonard Barolli (Hrsg.). Advances on P2P, Parallel, Grid, Cloud and Internet Computing. International Conference on Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2024), November 13-15, San Benedetto del Tronto, Italy, Pages 385-394, Lecture Notes on Data Engineering and Communications Technologies (LNDECT), Vol. 232, ISBN 978-3-031-76462-2, Springer Nature Switzerland, Cham, 2025.

4. Thomas Achim Schmeyer; Kai Krämer; Sven Pultar; Ali Nazeri; Christiane Plociennik; Martin Ruskowski

   AI-enabled Textile Quality Control based on Consumer Hardware

   In: 11th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2025. IFAC Conference on Manufacturing Modelling, Management and Control (MIM-2025), June 30 - July 3, Trondheim, Norway, Elsevier, Amsterdam, Netherlands, 2025.

5. Andreas Wagner; Tatjana Legler; Martin Ruskowski

   Using In-Process Workpieces and Asset Administration Shells for Chaining Machining Skills

   In: Procedia Computer Science, Vol. 253, Pages 2841-2848, ELSEVIER, 2025.

6. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

   Collaborative Learning in Shared Production Environment Using Federated Image Classification

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

7. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

   Multifaceted Applications of Federated Learning: Beyond Neural Networks

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 271-278, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

8. Jonathan Nußbaum; Tatjana Legler; Martin Ruskowski

   CPPM Copilot: Proposing an AI-Based Assistant for Manual Assembly Tasks in a Flexible Production

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 80-88, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

9. Pascal Rübel; William Motsch; Alexis T. Bernhard; Simon Jungbluth; Martin Ruskowski

   Agent-Based Communication for Fault Diagnosis in Skill-Based Production Environments Using Messages Based on I4.0 Language and Asset Administration Shells

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 157-170, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

10. Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski

    Human-Robot Interaction Through Egocentric Hand Gesture Recognition

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

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