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 001 (CASE, 2019)

Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks. - Johannes C. Bauer; Rüdiger Daub (ETFA, 2023)

Automated Configuration and Flexibilization of Vacuum Grippers. - Paul Geng; Rüdiger Daub (ETFA, 2023)

Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects. - Jonas Dirr; Daniel Gebauer; Jiajun Yao; Rüdiger Daub (Sensors, 2023)

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 (ETFA, 2024)

Automated Robot Skill Parameterization Based On Task Specifications. - Sebastian Kurscheid; Rüdiger Daub (ETFA, 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 002; Ann-Kathrin Goldbach; Florian Rothmeyer; et al. (Autom., 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 (J. Ind. Inf. Integr., 2025)

Sensitivity Analysis of Image Classification Models using Generalized Polynomial Chaos. - Lukas Bahr; Lucas Poßner; Konstantin Weise; Sophie Groeger; Rüdiger Daub (CoRR, 2025)

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception. - Kejia Chen 005; Celina Dettmering; Florian Pachler; Zhuo Liu; Yue Zhang; Tailai Cheng; Jonas Dirr; Zhenshan Bing; Alois Knoll; Rüdiger Daub (CoRR, 2025)