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2021
Kuhnke, F., Ihler, S., & Ostermann, J. (2021). Relative Pose Consistency for Semi-Supervised Head Pose Estimation. In V. Struc, & M. Ivanovska (Hrsg.), 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (S. 1-8). (Proceedings - 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021). https://doi.org/10.1109/FG52635.2021.9666992
Kundrat, D., Graesslin, R., Schoob, A., Friedrich, D. T., Scheithauer, M. O., Hoffmann, T. K., Ortmaier, T., Kahrs, L. A., & Schuler, P. J. (2021). Preclinical Performance Evaluation of a Robotic Endoscope for Non-Contact Laser Surgery. Annals of biomedical engineering, 49(2), 585-600. https://doi.org/10.1007/s10439-020-02577-y
Laves, M.-H., Ihler, S., Fast, J. F., Kahrs, L. A., & Ortmaier, T. (2021). Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. The Journal of Machine Learning for Biomedical Imaging (MELBA), MIDL 2020(1), 1-26. https://arxiv.org/abs/2104.12376
Laves, M.-H. V. (2021). Well-Calibrated Predictive Uncertainty in Medical Imaging with Bayesian Deep Learning. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/11588
Lilge, S., Nülle, K., Böttcher, G., Spindeldreier, S., & Burgner-Kahrs, J. (2021). Tendon Actuated Continuous Structures in Planar Parallel Robots: A Kinematic Analysis. Journal of Mechanisms and Robotics, 13(1), Artikel 011025. https://doi.org/10.1115/1.4049058
Mattos, L. S., Acemoglu, A., Geraldes, A., Laborai, A., Schoob, A., Tamadazte, B., Davies, B., Wacogne, B., Pieralli, C., Barbalata, C., Caldwell, D. G., Kundrat, D., Pardo, D., Grant, E., Mora, F., Barresi, G., Peretti, G., Ortiz, J., Rabenorosoa, K., ... Penza, V. (2021). μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery. Frontiers in Robotics and AI, 8, Artikel 664655. https://doi.org/10.3389/frobt.2021.664655
Meisoll, F. J., Jungheim, M., Fast, J. F., Miller, S., & Ptok, M. (2021). Upper Esophageal Sphincter Response to Laryngeal Adductor Reflex Elicitation in Humans. Laryngoscope, 131(6), E1778-E1784. https://doi.org/10.1002/lary.29166
Müller, S. (2021). Ein additiv gefertigtes patientenspezifisches Werkzeugsystem zur Navigation bei der Hüftarthroplastik. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. TEWISS Verlag.
Schappler, M., Job, T.-D., & Ortmaier, T. (2021). A Maple Toolchain for Rigid Body Dynamics of Serial, Hybrid and Parallel Robots. In R. M. Corless, J. Gerhard, & I. S. Kotsireas (Hrsg.), Maple in Mathematics Education and Research - 4th Maple Conference, MC 2020, Revised Selected Papers: Maple in Mathematics Education and Research (S. 350-364). (Communications in Computer and Information Science; Band 1414). Springer, Cham. https://doi.org/10.15488/11141, https://doi.org/10.1007/978-3-030-81698-8_23
Schappler, M., & Ortmaier, T. (2021). Singularity Avoidance of Task-redundant Robots in Pointing Tasks: On Nullspace Projection and Cardan Angles as Orientation Coordinates. In O. Gusikhin, H. Nijmeijer, & K. Madani (Hrsg.), Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics (Band 1, S. 338-349) https://doi.org/10.5220/0010621103380349
Schell, V., Böttcher-Rebmann, G., Budde, L., Zuniga, M. G., Lenarz, T., & Rau, T. S. (2021). A software for online monitoring of orientation-compensated forces during CI insertion. Current Directions in Biomedical Engineering, 7(2), 97-100. https://doi.org/10.1515/cdbme-2021-2025
Spindeldreier, S. (2021). Modellierung, Synthese und modellbasierte Bewegungsplanung hyperredundanter, binär aktuierter Manipulatoren. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. https://doi.org/10.15488/10346
Stuede, M., Lerche, T., Petersen, M. A., & Spindeldreier, S. (2021). Behavior-Tree-Based Person Search for Symbiotic Autonomous Mobile Robot Tasks. In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA) (S. 2414-2420). (Proceedings. Robotics and automation). IEEE. https://doi.org/10.1109/ICRA48506.2021.9561608
Stuede, M., Westermann, K., Schappler, M., & Spindeldreier, S. (2021). Sobi: An Interactive Social Service Robot for Long-Term Autonomy in Open Environments. In S. Behnke, E. Menegatti, & C. McCool (Hrsg.), 2021 European Conference on Mobile Robots (ECMR): Proceedings, Virtual Conference 31 August - 3 September 2021 IEEE. https://doi.org/10.1109/ECMR50962.2021.9568838
Tantau, M., Perner, L., & Wielitzka, M. (2021). Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors. In 2021 European Control Conference, ECC 2021 (S. 2479-2486). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15488/10570, https://doi.org/10.23919/ECC54610.2021.9654884
Tantau, M., Perner, L., & Wielitzka, M. (2021). Model Selection for Servo Control Systems. International Journal of Mechatronics and Automation, 8(3), 111-125. https://doi.org/10.15488/11498, https://doi.org/10.1504/IJMA.2021.118426
Tantau, M., Morantz, P., & Shore, P. (2021). Position sensor for active magnetic bearing with commercial linear optical encoders. CIRP Annals - Manufacturing Technology, 70(1), 419-422. https://doi.org/10.15488/10978, https://doi.org/10.1016/j.cirp.2021.04.092
Weber, D., & Gühmann, C. (2021). Non-Autoregressive vs Autoregressive Neural Networks for System Identification. In IFAC-PapersOnLine (20 Aufl., Band 54, S. 692-698). (IFAC-PapersOnLine). https://doi.org/10.1016/j.ifacol.2021.11.252
Wiegandt, F. C., Biegger, D., Fast, J. F., Matusiak, G., Mazela, J., Ortmaier, T., Doll, T., Dietzel, A., Bohnhorst, B., & Pohlmann, G. (2021). Detection of Breathing Movements of Preterm Neonates by Recording Their Abdominal Movements with a Time-of-Flight Camera. Pharmaceutics, 13(5), Artikel 721. https://doi.org/10.3390/pharmaceutics13050721
Ziaukas, Z., Busch, A., & Wielitzka, M. (2021). Estimation of Vehicle Side-Slip Angle at Varying Road Friction Coefficients Using a Recurrent Artificial Neural Network. In 2021 IEEE Conference on Control Technology and Applications (CCTA) (S. 986-991). (Control Technology and Applications). IEEE. https://doi.org/10.1109/ccta48906.2021.9658710