Rüdiger Daub

24 papers A 1C 7Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding.
J. Intell. Manuf.
Johannes C. Bauer, Stephan Trattnig, Fabian Vieltorf, Rüdiger Daub
2026 J jnl
Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection.
CoRR
Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub
2026 J jnl
Planning Method for Skill-Based Control of Robots Using a PLC as Skill Trigger.
CoRR
Andreas Gaugenrieder, Hari Hara Balasubramaniam, Jannik Möhrle, Rüdiger Daub
2025 C conf
A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing.
ETFA
Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub
2025 J jnl
A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing.
CoRR
Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub
2025 — conf
Assembly Lines in Circulation - Towards a Holistic Framework to Enable the Reuse of Assembly Resources.
CASE
German Bluvstein, Sebastian Kurscheid, Nora Reinbold, Wolfgang Vorraber, Philipp Url, Maximilian Orgler, Shiva Noori, Emad Yaghmaei, Rie B. Larsen, Simon Thevenin, Hamidreza Rezaei, Shamaim Wöss, Rüdiger Daub
2025 — conf
Automated Workspace Scanning with Local Areas of Interest in the Context of Industrial Robots as a Service (IRaaS).
CASE
Julian Müller, Stephan Trattnig, Lisa Heuss, Paul Geng, Lukas Tanz, Rüdiger Daub
2025 — conf
Digital Workpiece Model Creation for the Automated Configuration and Commissioning of Industrial Robotic Applications.
CASE
Paul Geng, Michael Jonas Pressnig, Johannes C. Bauer, Stephan Trattnig, Lukas Tanz, Rüdiger Daub
2025 C conf
Experimental Investigation on the Handling Stability of Vacuum Grippers with Multiple Suction Cups.
ETFA
Paul Geng, Sebastian Fendt, Stephan Trattnig, Johannes C. Bauer, Lukas Tanz, Rüdiger Daub
2025 C conf
Few-Shot Learning-Based Analysis of Production Areas Using Large Foundation Models and Metric Learning.
ETFA
Johannes C. Bauer, Johanna Dechent, Stephan Trattnig, Paul Geng, Sonja Wächter, Rüdiger Daub
2025 J jnl
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis.
J. Ind. Inf. Integr.
Lukas Bahr, Christoph Wehner, Judith Wewerka, José Bittencourt, Ute Schmid, Rüdiger Daub
2025 — conf
Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection.
ICCMA
Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub
2025 A conf
Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception.
IROS
Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng, Jonas Dirr, Zhenshan Bing, Alois Knoll, Rüdiger Daub
2025 J jnl
Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception.
CoRR
Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng, Jonas Dirr, Zhenshan Bing, Alois Knoll, Rüdiger Daub
2025 — conf
Retrieval-Augmented Generation using Knowledge Graphs for Manufacturing Problem-Solving.
CASE
Frederic Meister, Parikshit Khanal, Ludwig Trauner, Rüdiger Daub
2025 J jnl
Sensitivity Analysis of Image Classification Models using Generalized Polynomial Chaos.
CoRR
Lukas Bahr, Lucas Poßner, Konstantin Weise, Sophie Groeger, Rüdiger Daub
2024 C conf
Automated Robot Skill Parameterization Based On Task Specifications.
ETFA
Sebastian Kurscheid, Rüdiger Daub
2024 J jnl
Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis.
CoRR
Lukas Bahr, Christoph Wehner, Judith Wewerka, José Bittencourt, Ute Schmid, Rüdiger Daub
2024 J jnl
Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability.
Autom.
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
2024 C conf
Reliable Deep Learning-Based Analysis of Production Areas Using RGB-D Data and Model Confidence Calibration.
ETFA
Johannes C. Bauer, Kutay Yilmaz, Sonja Wächter, Rüdiger Daub
2023 C conf
Automated Configuration and Flexibilization of Vacuum Grippers.
ETFA
Paul Geng, Rüdiger Daub
2023 J jnl
Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects.
Sensors
Jonas Dirr, Daniel Gebauer, Jiajun Yao, Rüdiger Daub
2023 C conf
Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks.
ETFA
Johannes C. Bauer, Rüdiger Daub
2019 — conf
Data-and Expert-Driven Analysis of Cause-Effect Relationships in the Production of Lithium-Ion Batteries.
CASE
Thomas Komas, Rüdiger Daub, Muhammad Zeeshan Karamat, Sebastian Thiede, Christoph Herrmann