| 2025 | ETFA | 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 Wchter, Rdiger Daub |
| 2025 | ETFA | A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing. | Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokldal, Rdiger Daub |
| 2025 | ETFA | Experimental Investigation on the Handling Stability of Vacuum Grippers with Multiple Suction Cups. | Paul Geng, Sebastian Fendt, Stephan Trattnig, Johannes C. Bauer, Lukas Tanz, Rdiger Daub |
| 2025 | IROS | 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, Rdiger Daub |
| 2024 | ETFA | Reliable Deep Learning-Based Analysis of Production Areas Using RGB-D Data and Model Confidence Calibration. | Johannes C. Bauer, Kutay Yilmaz, Sonja Wchter, Rdiger Daub |
| 2024 | ETFA | Automated Robot Skill Parameterization Based On Task Specifications. | Sebastian Kurscheid, Rdiger Daub |
| 2023 | ETFA | Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks. | Johannes C. Bauer, Rdiger Daub |
| 2023 | ETFA | Automated Configuration and Flexibilization of Vacuum Grippers. | Paul Geng, Rdiger Daub |