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2020
Ihler, S., Laves, M-H., & Ortmaier, T. (2020). Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. Vorabveröffentlichung online. https://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. Vorabveröffentlichung online. https://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. IFAC-PapersOnLine, 53(2), 14306-14311. https://doi.org/10.1016/j.ifacol.2020.12.1372
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. https://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. https://doi.org/10.1007/978-3-662-61755-7_21, https://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. 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
Lehmann, D., Laidig, D., Deimel, R., & Seel, T. (2020). Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints. IFAC-PapersOnLine, 53(2), 16016-16022. https://doi.org/10.1016/j.ifacol.2020.12.401
Lippi, V., Brands, K. G., & Seel, T. (2020). Real-time Implementation and Evaluation of Magnetometerless Tracking System for Human and Humanoid Posture Control Benchmarking based on Inertial Sensors. In O. Gusikhin, K. Madani, & J. Zaytoon (Hrsg.), ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics (S. 675-680)
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
Meindl, M., Molinari, F., Raisch, J., & Seel, T. (2020). Overcoming output constraints in iterative learning control systems by reference adaptation. IFAC-PapersOnLine, 53(2), 1480-1486. https://doi.org/10.1016/j.ifacol.2020.12.1938
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
Passon, A., Schauer, T., & Seel, T. (2020). Inertial-robotic motion tracking in end-effector-based rehabilitation robots. Frontiers in Robotics and AI, 7, 554639. Artikel 554639. https://doi.org/10.3389/frobt.2020.554639
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