Rüdiger Daub

According to our database, Rüdiger Daub authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

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

Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis.

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

CoRR, 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