Department assembly technology and robotics

Phone: +49 (89) 289 - 15548
Email: johannes.bauer(at)iwb.tum.de

Research interests

• Computer vision for robotics and quality monitoring in manufacturing
• Robustness of deep learning methods
• Calibration of deep neural networks
• Continual machine learning

Publications

2025

Bauer, Johannes C.; Trattnig, Stephan; Geng, Paul; Raffin, Tim; Daub, Rüdiger: A continual active learning approach to adapt neural networks to distribution shifts in quality monitoring applications. International Journal of Advanced Manufacturing Technology, 2025, https://doi.org/10.1007/s00170-025-15786-3 

Bauer, Johannes C.; Trattnig, Stephan; Vieltorf, Fabian; Daub, Rüdiger: Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding. Journal of Intelligent Manufacturing, 2025, https://doi.org/10.1007/s10845-025-02569-6 

2024

Trattnig, Stephan; Bauer, Johannes C.; Schneider, Daniel; Daub, Rüdiger: Data Fabric: A Concept for Enhancing Data Management in Manufacturing. In: Wang, YC., Chan, S.H., Wang, ZH. (eds) Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. FAIM 2024. Lecture Notes in Mechanical Engineering. Springer, 2024, https://doi.org/10.1007/978-3-031-74482-2_21 

Bauer, Johannes C.; Yilmaz, Kutay; Wächter, Sonja; Daub, Rüdiger: Reliable Deep Learning-Based Analysis of Production Areas Using RGB-D Data and Model Confidence Calibration.  In: 28th International Conference on Emerging Technologies and Factory automation (ETFA). IEEE, 2024, https://doi.org/10.1109/ETFA61755.2024.10711012 

2023

Bauer, Johannes C.; Daub, Rüdiger: Continuous Adaptation of Deep Learning Models for Optical Quality Monitoring Tasks. In: 28th International Conference on Emerging Technologies and Factory automation (ETFA). IEEE, 2023, https://doi.org/10.1109/ETFA54631.2023.10275699 

Bauer, Johannes C.; Abdous, Mohammed-Amine; Kurscheid, Sebastian; Lucas, Flavien; Lozenguez, Guillaume; Daub, Rüdiger: Towards Enabling Human-Robot Collaboration In Industry: Identification Of Current Implementation Barriers. In: 5th Conference on Production Systems and Logistics (CPSL). Publish-Ing., 2023, https://doi.org/10.15488/15254 

Dirr, Jonas; Bauer, Johannes C.; Gebauer, Daniel; Daub, Rüdiger: Cut-paste image generation for instance segmentation for robotic picking of industrial parts. International Journal of Advanced Manufacturing Technology 103, 2023, 191-201, https://doi.org/10.1007/s00170-023-12622-4