conference paper published yes Jonas Ehrhardt author Malte Ramonat author Rene Heesch author Kaja Balzereit author 2557870000-0001-9203-5902 Alexander Diedrich author Oliver Niggemann author 103 department 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) IEEE2022Stuttgart, Germany eng 10.1109/ETFA52439.2022.9921546 1-8 Ehrhardt, Jonas, et al. “An AI Benchmark for Diagnosis, Reconfiguration &#38; Planning.” <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, IEEE, 2022, pp. 1–8, doi:<a href="https://doi.org/10.1109/ETFA52439.2022.9921546">10.1109/ETFA52439.2022.9921546</a>. Ehrhardt J, Ramonat M, Heesch R, Balzereit K, Diedrich A, Niggemann O. An AI benchmark for Diagnosis, Reconfiguration &#38; Planning. In: <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE; 2022:1-8. doi:<a href="https://doi.org/10.1109/ETFA52439.2022.9921546">10.1109/ETFA52439.2022.9921546</a> Ehrhardt, Jonas, Malte Ramonat, Rene Heesch, Kaja Balzereit, Alexander Diedrich, and Oliver Niggemann. “An AI Benchmark for Diagnosis, Reconfiguration &#38; Planning.” In <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 1–8. IEEE, 2022. <a href="https://doi.org/10.1109/ETFA52439.2022.9921546">https://doi.org/10.1109/ETFA52439.2022.9921546</a>. J. Ehrhardt, M. Ramonat, R. Heesch, K. Balzereit, A. Diedrich, O. Niggemann, in: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022, pp. 1–8. <span style="font-variant:small-caps;">Ehrhardt, Jonas</span> ; <span style="font-variant:small-caps;">Ramonat, Malte</span> ; <span style="font-variant:small-caps;">Heesch, Rene</span> ; <span style="font-variant:small-caps;">Balzereit, Kaja</span> ; <span style="font-variant:small-caps;">Diedrich, Alexander</span> ; <span style="font-variant:small-caps;">Niggemann, Oliver</span>: An AI benchmark for Diagnosis, Reconfiguration &#38; Planning. In: <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i> : IEEE, 2022, S. 1–8 Ehrhardt, J., Ramonat, M., Heesch, R., Balzereit, K., Diedrich, A., &#38; Niggemann, O. (2022). An AI benchmark for Diagnosis, Reconfiguration &#38; Planning. In <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i> (pp. 1–8). Stuttgart, Germany: IEEE. <a href="https://doi.org/10.1109/ETFA52439.2022.9921546">https://doi.org/10.1109/ETFA52439.2022.9921546</a> @inproceedings{Ehrhardt_Ramonat_Heesch_Balzereit_Diedrich_Niggemann_2022, title={An AI benchmark for Diagnosis, Reconfiguration &#38; Planning}, DOI={<a href="https://doi.org/10.1109/ETFA52439.2022.9921546">10.1109/ETFA52439.2022.9921546</a>}, booktitle={2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Ehrhardt, Jonas and Ramonat, Malte and Heesch, Rene and Balzereit, Kaja and Diedrich, Alexander and Niggemann, Oliver}, year={2022}, pages={1–8} } J. Ehrhardt, M. Ramonat, R. Heesch, K. Balzereit, A. Diedrich, and O. Niggemann, “An AI benchmark for Diagnosis, Reconfiguration &#38; Planning,” in <i>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Stuttgart, Germany, 2022, pp. 1–8. 69072026-05-18T14:10:09Z2026-05-19T10:52:22Z