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Publikationen


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2020


Hansen, C. (2020). Planung energieeffizienter Mehrachstrajektorien unter Ausnutzung elektrischer Antriebskopplung. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. TEWISS Verlag.

Ihler, S., Laves, M-H., & Ortmaier, T. (2020). Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer.

arxiv.org/abs/2007.04928

Ihler, S., Kuhnke, F. K., Laves, M-H. V., & Ortmaier, T. (2020). Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. in A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Hrsg.), International Conference on Medical Image Computing and Computer Assisted Intervention (S. 54-64). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12263 LNCS). Springer, Cham.

doi.org/10.1007/978-3-030-59716-0_6

Jahn, T., Ziaukas, Z., Kobler, J. P., Wielitzka, M., & Ortmaier, T. (2020). Neural Observer for Nonlinear State and Input Estimation in a Truck-Semitrailer Combination. in 21st IFAC World Congress

Kaczor, D., Bensch, M., Schappler, M., & Ortmaier, T. (2020). Trajectory optimization for the handling of elastically coupled objects via reinforcement learning and flatness-based control. in Annals of scientific society for assembly, handling and industrial robotics (S. 319-329). Springer Verlag.

doi.org/10.1007/978-3-662-61755-7_29

Knöchelmann, E., Steinke, D., Greenyer, J., Spindeldreier, S., & Ortmaier, T. (2020). Trajectory Optimization Methods for Robotic Cells Considering Energy Efficiency and Collisions. in T. Schüppstuhl, K. Tracht, & D. Henrich (Hrsg.), Annals of Scientific Society for Assembly, Handling and Industrial Robotics (S. 229–240). Springer Vieweg, Berlin, Heidelberg.

doi.org/10.1007/978-3-662-61755-7_21

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doi.org/10.15488/10378

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.

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.

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.

doi.org/10.1007/978-3-030-60365-6_9

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..

doi.org/10.15488/10381

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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. [9291439].

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 [112130J] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 11213). SPIE.

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.

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.

doi.org/10.1016/j.ifacol.2020.12.1408

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doi.org/10.15488/10814

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). [9233835].

doi.org/10.15488/10816

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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 Tagungsband der 6. IFToMM D-A-CH Konferenz

doi.org/10.17185/duepublico/71211

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). (ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics).

doi.org/10.15488/11505

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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.

doi.org/10.15488/10399

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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. [3].

doi.org/10.15488/11342

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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). [9233569] (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020)..

doi.org/10.15488/10397

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doi.org/10.1109/ICMA49215.2020.9233569


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