Rüdiger Daub

According to our database, Rüdiger Daub authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Planning Method for Skill-Based Control of Robots Using a PLC as Skill Trigger.

Andreas Gaugenrieder, Hari Hara Balasubramaniam, Jannik Möhrle, Rüdiger Daub

CoRR, March, 2026

Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding.

Johannes C. Bauer, Stephan Trattnig, Fabian Vieltorf, Rüdiger Daub

J. Intell. Manuf., February, 2026

2025

Sensitivity Analysis of Image Classification Models using Generalized Polynomial Chaos.

Lukas Bahr, Lucas Poßner, Konstantin Weise, Sophie Groeger, Rüdiger Daub

CoRR, June, 2025

Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis.

Lukas Bahr, Christoph Wehner, Judith Wewerka, José Bittencourt, Ute Schmid, Rüdiger Daub

J. Ind. Inf. Integr., 2025

Information Extraction And Knowledge Modeling For Disassembly Processes.

German Bluvstein, Rüdiger Daub

Proceedings of the 7th International Conference on Industry of the Future and Smart Manufacturing (ISM 2025), 2025

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception.

Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng, Jonas Dirr, Zhenshan Bing, Alois Knoll, Rüdiger Daub

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection.

Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub

Proceedings of the 2025 13th International Conference on Control, 2025

Experimental Investigation on the Handling Stability of Vacuum Grippers with Multiple Suction Cups.

Paul Geng, Sebastian Fendt, Stephan Trattnig, Johannes C. Bauer, Lukas Tanz, Rüdiger Daub

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing.

Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

Few-Shot Learning-Based Analysis of Production Areas Using Large Foundation Models and Metric Learning.

Johannes C. Bauer, Johanna Dechent, Stephan Trattnig, Paul Geng, Sonja Wächter, Rüdiger Daub

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

Automated Workspace Scanning with Local Areas of Interest in the Context of Industrial Robots as a Service (IRaaS).

Julian Müller, Stephan Trattnig, Lisa Heuss, Paul Geng, Lukas Tanz, Rüdiger Daub

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

Retrieval-Augmented Generation using Knowledge Graphs for Manufacturing Problem-Solving.

Frederic Meister, Parikshit Khanal, Ludwig Trauner, Rüdiger Daub

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

Digital Workpiece Model Creation for the Automated Configuration and Commissioning of Industrial Robotic Applications.

Paul Geng, Michael Jonas Pressnig, Johannes C. Bauer, Stephan Trattnig, Lukas Tanz, Rüdiger Daub

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

Assembly Lines in Circulation - Towards a Holistic Framework to Enable the Reuse of Assembly Resources.

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

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability.

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

Autom., September, 2024

Automated Robot Skill Parameterization Based On Task Specifications.

Sebastian Kurscheid, Rüdiger Daub

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

Reliable Deep Learning-Based Analysis of Production Areas Using RGB-D Data and Model Confidence Calibration.

Johannes C. Bauer, Kutay Yilmaz, Sonja Wächter, Rüdiger Daub

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2023

Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects.

Jonas Dirr, Daniel Gebauer, Jiajun Yao, Rüdiger Daub

Sensors, March, 2023

Automated Configuration and Flexibilization of Vacuum Grippers.

Paul Geng, Rüdiger Daub

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks.

Johannes C. Bauer, Rüdiger Daub

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2019

Data-and Expert-Driven Analysis of Cause-Effect Relationships in the Production of Lithium-Ion Batteries.

Thomas Komas, Rüdiger Daub, Muhammad Zeeshan Karamat, Sebastian Thiede, Christoph Herrmann

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019