Showing results 101 - 120 out of 731
2021
Fink, D., Czarnecki, J.-D., Wielitzka, M., Schweers, C., & Trabelsi, A. (2021). Fahrstilanalyse zur Erhöhung der Nutzerakzeptanz automatisiert energieeffizienter Fahrzeuglängsführung. In Digital‐Fachtagung VDI MECHATRONIK 2021 (pp. 158-163). https://doi.org/10.26083/tuprints-00017626
Frank, T. (2021). Performante, parametervariante Modellierung thermischer Prozesse bei der Vulkanisation von Kautschukerzeugnissen. [Doctoral thesis, Leibniz University Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/11538
Habich, T.-L., Stuede, M., Labbé, M., & Spindeldreier, S. (2021). Have I been here before? Learning to Close the Loop with LiDAR Data in Graph-Based SLAM. In Proceedings of the 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM): July 12-16, 2021, Delft, The Netherlands (pp. 504-510) https://doi.org/10.1109/AIM46487.2021.9517565
Kilian, J., Blum, T., Laves, M. H., Ortmaier, T., Lenarz, T., & Rau, T. S. (2021). Reducing the manual length setting error of a passive Gough-Stewart platform for surgical template fabrication using a digital measurement system. Current Directions in Biomedical Engineering, 7(2), 89-92. https://doi.org/10.1515/cdbme-2021-2023
Knöchelmann, E., Männel, A., & Schappler, M. (2021). Three-Layer Hierarchical Model Predictive Control Concept for Industrial DC Microgrids. In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference); Vol. 2021-October). https://doi.org/10.1109/IECON48115.2021.9589196
Kortmann, K.-P., Fehsenfeld, M., & Wielitzka, M. (2021). Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. Advance online publication. https://arxiv.org/abs/2104.02784
Kortmann, K.-P., Fehsenfeld, M. J., & Wielitzka, M. (2021). Featureextraktion aus heterogenen multivariaten Zeitreihendaten mechatronischer Systeme mittels Autoencoder-Netzwerken. In Digital‐Fachtagung VDI MECHATRONIK 2021 (pp. 74-79). https://doi.org/10.26083/tuprints-00017626
Kuhnke, F., Ihler, S., & Ostermann, J. (2021). Relative Pose Consistency for Semi-Supervised Head Pose Estimation. In V. Struc, & M. Ivanovska (Eds.), 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (pp. 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. [Doctoral thesis, Leibniz University 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), Article 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, Article 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. [Doctoral thesis, Leibniz University 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 (Eds.), Maple in Mathematics Education and Research - 4th Maple Conference, MC 2020, Revised Selected Papers: Maple in Mathematics Education and Research (pp. 350-364). (Communications in Computer and Information Science; Vol. 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 (Eds.), Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics (Vol. 1, pp. 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. [Doctoral thesis, Leibniz University 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) (pp. 2414-2420). (Proceedings. Robotics and automation). IEEE. https://doi.org/10.1109/ICRA48506.2021.9561608