Florian Stamer

Prof. Dr.-Ing.

  1. A Framework for Anomaly Classification and Segmentation in Remanufacturing using Autoencoders and Simulated Data

    Kaiser, J. P., Enslin, C. L., Barczak, E. T., Stamer, F., Heizmann, M. & Lanza, G., 2024, In: Procedia CIRP. 126, p. 1005-1010 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  2. A development approach for a standardized quality data model using asset administration shell technology in the context of autonomous quality control loops for manufacturing processes

    Bilen, A., Stamer, F., May, M. C. & Lanza, G., 2023, European Society for Precision Engineering and Nanotechnology: Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023. Riemer, O., Nisbet, C. & Phillips, D. (eds.). European Society for Precision Engineering and Nanotechnology, p. 443-446 4 p. (European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 23rd International Conference and Exhibition, EUSPEN 2023).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell

    Stamer, F., Maier, S., Peukert, S. & Lanza, G., 2022, In: Procedia CIRP. 112, p. 79-84 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  4. Adaptive acquisition planning for visual inspection in remanufacturing using reinforcement learning

    Kaiser, J. P., Gäbele, J., Koch, D., Schmid, J., Stamer, F. & Lanza, G., 2024, (Accepted/In press) In: Journal of Intelligent Manufacturing. 27 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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