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2020
Kortmann, K. P., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2020). Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation. IFAC-PapersOnLine, 53(2), 11125-11131. https://doi.org/10.1016/j.ifacol.2020.12.271
Laves, M.-H., Ihler, S., Kortmann, K.-P., & Ortmaier, T. (2020). Calibration of Model Uncertainty for Dropout Variational Inference. Vorabveröffentlichung online. https://arxiv.org/abs/2006.11584
Laves, M.-H., Tölle, M., & Ortmaier, T. (2020). Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. In C. H. Sudre, H. Fehri, T. Arbel, C. F. Baumgartner, A. Dalca, R. Tanno, K. Van Leemput, W. M. Wells, A. Sotiras, B. Papiez, E. Ferrante, & S. Parisot (Hrsg.), Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (S. 81-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12443 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-60365-6_9
Laves, M. H., Ihler, S., Fast, J. F., Kahrs, L. A., & Ortmaier, T. (2020). Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. Proceedings of Machine Learning Research, 121, 393-412. https://proceedings.mlr.press/v121/laves20a.html
Männel, A., Müller, K., Knöchelmann, E., & Ortmaier, T. (2020). Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems. In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) (S. 904-911). (Proceedings of the IEEE International Symposium on Industrial Electronics; Band 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15488/10381, https://doi.org/10.1109/ISIE45063.2020.9152432
Modes, V., Ortmaier, T., & Burgner-Kahrs, J. (2020). Shape Sensing Based on Longitudinal Strain Measurements Considering Elongation, Bending and Twisting. IEEE sensors journal, 21(5), 6712-6723. Artikel 9291439. https://doi.org/10.1109/jsen.2020.3043999
Napier, J. W., Ihler, S., Laves, M. H., Zabic, M., Heisterkamp, A., & Neu, W. (2020). Design of a novel MEMS based laser scanning laryngoscope to combine high precision laser cuts with simultaneous MHz OCT and stereo camera feedback. In Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020 Artikel 112130J (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 11213). SPIE. https://doi.org/10.1117/12.2550806
Nuelle, K., Sterneck, T., Lilge, S., Xiong, D., Burgner-Kahrs, J., & Ortmaier, T. (2020). Modeling, calibration, and evaluation of a tendon-actuated planar parallel continuum robot. IEEE Robotics and Automation Letters, 5(4), 5811-5818. https://doi.org/10.1109/LRA.2020.3010213
Popp, E., Tantau, M., Wielitzka, M., Giebert, D., & Ortmaier, T. (2020). Design of a PI-Controller Based on Time-Domain Specification Utilizing the Parameter Space Approach. International Federation of Automatic Control (IFAC), 53(2), 8884-8890. https://doi.org/10.15488/10814, https://doi.org/10.1016/j.ifacol.2020.12.1408
Popp, E., Tantau, M., Wielitzka, M., & Ortmaier, T. (2020). Performance Optimal and Robust Design of an Idle-Speed Controller Considering Physical Uncertainties. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (S. 953-959). Artikel 9233835. https://doi.org/10.15488/10816, https://doi.org/10.1109/icma49215.2020.9233835
Schappler, M., & Ortmaier, T. (2020). Dimensional Synthesis of Parallel Robots: Unified Kinematics and Dynamics using Full Kinematic Constraints. In Sechste IFToMM D-A-CH Konferenz 2020 https://doi.org/10.17185/duepublico/71211
Schappler, M., & Ortmaier, T. (2020). Roboteranwendungen. In U. Grünhaupt, & M. Ruskowski (Hrsg.), Handbuch der Mess- und Automatisierungstechnik in der Produktion (S. 1-22). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62424-1_61-1
Tantau, M., Perner, L., Wielitzka, M., & Ortmaier, T. (2020). Backlash Identification in Industrial Positioning Systems aided by a Mobile Accelerometer Board with Wi-Fi. In O. Gusikhin, K. Madani, & J. Zaytoon (Hrsg.), ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics (S. 576-584) https://doi.org/10.15488/11505, https://doi.org/10.5220/0009805305760584
Tantau, M., Petersen, T., Wielitzka, M., & Ortmaier, T. (2020). Constrained Design of Multisine Signals for Frequency-domain Identification of Electric Drive Trains. International Federation of Automatic Control (IFAC), 53(2), 8750-8756. https://doi.org/10.15488/10399, https://doi.org/10.1016/j.ifacol.2020.12.1369
Tantau, M., Helmke, C., Perner, L., & Wielitzka, M. (2020). Distinguishability study of 3-Mass Models for Electromechanical Motion Systems. International Journal of Modelling, Identification and Control (IJMIC), 36(3), 175-187. Artikel 3. https://doi.org/10.15488/11342, https://doi.org/10.1504/IJMIC.2020.116913
Tantau, M., Perner, L., Wielitzka, M., & Ortmaier, T. (2020). Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (S. 735-741). Artikel 9233569 IEEE. https://doi.org/10.15488/10397, https://doi.org/10.1109/ICMA49215.2020.9233569
Tantau, M., Popp, E., Perner, L., Wielitzka, M., & Ortmaier, T. (2020). Model Selection ensuring Practical Identifiability for Models of Electric Drives with Coupled Mechanics. International Federation of Automatic Control (IFAC), 53(2), 8853-8859. https://doi.org/10.15488/10400, https://doi.org/10.1016/j.ifacol.2020.12.1400
Tantau, M., Wielitzka, M., & Ortmaier, T. (2020). Multisensor-Configuration for Improved Identifiability and Observability of Electromechanical Motion Systems. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (S. 742-749). Artikel 9233630 (IEEE International Conference on Mechatronics and Automation, ICMA 2020).. https://doi.org/10.15488/10396, https://doi.org/10.1109/ICMA49215.2020.9233630
Volkmann, B., Kaczor, D., Tantau, M., Schappler, M., & Ortmaier, T. (2020). Sensitivity-based Model Reduction for In-Process Identification of Industrial Robots Inverse Dynamics. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (S. 912-919). Artikel 9233709 (IEEE International Conference on Mechatronics and Automation, ICMA 2020). https://doi.org/10.15488/10355, https://doi.org/10.1109/icma49215.2020.9233709
Wielitzka, M. (2020). Zustands- und Reibwertschätzung in der Fahrzeugdynamik. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. TEWISS Verlag.