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2020 – today
- 2024
[j2]Birgit Vogel-Heuser, Fandi Hartl, Moritz Wittemer, Jingyun Zhao, Andreas Mayr, Martin Fleischer, Theresa Prinz, Anne Fischer, Jakob Trauer, Philipp Schroeder, Ann-Kathrin Goldbach, Florian Rothmeyer, Markus Zimmermann, Kai-Uwe Bletzinger, Johannes Fottner, Rüdiger Daub, Klaus Bengler, André Borrmann, Michael F. Zaeh, Katrin Wudy:
Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability. Autom. 72(9): 789-814 (2024)- [c5]Johannes C. Bauer, Kutay Yilmaz, Sonja Wächter, Rüdiger Daub:
Reliable Deep Learning-Based Analysis of Production Areas Using RGB-D Data and Model Confidence Calibration. ETFA 2024: 1-8 - [c4]Sebastian Kurscheid, Rüdiger Daub:
Automated Robot Skill Parameterization Based On Task Specifications. ETFA 2024: 1-4 - [i1]Lukas Bahr, Christoph Wehner, Judith Wewerka, José Bittencourt, Ute Schmid, Rüdiger Daub:
Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis. CoRR abs/2406.18114 (2024) - 2023
- [j1]Jonas Dirr, Daniel Gebauer, Jiajun Yao, Rüdiger Daub
:
Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects. Sensors 23(6): 3013 (2023) - [c3]Johannes C. Bauer, Rüdiger Daub:
Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks. ETFA 2023: 1-4 - [c2]Paul Geng, Rüdiger Daub:
Automated Configuration and Flexibilization of Vacuum Grippers. ETFA 2023: 1-4
2010 – 2019
- 2019
- [c1]Thomas Komas, Rüdiger Daub, Muhammad Zeeshan Karamat, Sebastian Thiede, Christoph Herrmann:
Data-and Expert-Driven Analysis of Cause-Effect Relationships in the Production of Lithium-Ion Batteries. CASE 2019: 380-385
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