Showing results 41 - 60 out of 743
2023
Badilla-Solórzano, J., Ihler, S., Gellrich, N. C., & Spalthoff, S. (2023). Improving instrument detection for a robotic scrub nurse using multi-view voting. International journal of computer assisted radiology and surgery, 18(11), 1961-1968. https://doi.org/10.1007/s11548-023-03002-0
Bartholdt, M., Berthold, R., & Schappler, M. (2023). Towards a Modular Framework for Visco-Hyperelastic Simulations of Soft Material Manipulators with Well-Parameterised Material. In 2023 IEEE International Conference on Soft Robotics (RoboSoft) (IEEE International Conference on Soft Robotics). IEEE. https://doi.org/10.15488/15183, https://doi.org/10.1109/robosoft55895.2023.10122047
Bergmeier, J. N. (2023). Intraoperative endoskopische Registrierung von engen Bohrungen im Mastoid. [Doctoral thesis, Leibniz University Hannover]. https://doi.org/10.15488/13197
Busch, A. (2023). Sensitivitätsbasierte Fahrzustands- und Reibwertbeobachtung unter Einbezug von Kamerainformationen. [Doctoral thesis, Leibniz University Hannover]. TEWISS Verlag.
Caceres-Castellanos, C., Kortmann, K.-P., & Fehsenfeld, M. J. (2023). Condition Monitoring using Domain-Adversarial Networks with Convolutional Kernel Features. 7746-7752. Paper presented at IFAC World Congress 2023, Yokohama, Japan. https://doi.org/10.1016/j.ifacol.2023.10.1180
Cramer, J., Dassow, N., Böttcher-Rebmann, G., Budde, L., Lenarz, T., & Rau, T. S. (2023). Temporal bone phantom for decoupled cochlear implant electrode insertion force measurement. Current Directions in Biomedical Engineering, 9(1), 130-133. https://doi.org/10.1515/cdbme-2023-1033
Dorschky, E., Nitschke, M., Mayer, M., Weygers, I., Gassner, H., Seel, T., Eskofier, B., & Koelewijn, A. (2023). Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions. Advance online publication.
Ehlers, S. F. G., Kortmann, K.-P., & Kobler, J. P. (2023). Hybrid State Estimation in a Semitrailer for Different Loading Conditions. IFAC-PapersOnLine, 56(2), 5717-5722. https://doi.org/10.1016/j.ifacol.2023.10.518
Fast, J. F. (2023). Untersuchungswerkzeuge zur endoskopischen Evaluation des laryngealen Adduktionsreflexes. [Doctoral thesis, Leibniz University Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/13562
Fehsenfeld, M., Kühn, J., & Kortmann, K.-P. (2023). Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) IEEE. https://doi.org/10.1109/isie51358.2023.10228157
Fehsenfeld, M., Kühn, J., & Kortmann, K.-P. (2023). Multi-Source Domain Adaptation for Fault Diagnosis of Belt Drives. IFAC-PapersOnLine, 56(2), 11305-11310. https://doi.org/10.1016/j.ifacol.2023.10.411
Fink, D., Dues, T., Kortmann, K.-P., Blum, P., Schweers, C., & Trabelsi, A. (2023). A Recursive Gaussian Process based Online Driving Style Analysis. In 2023 American Control Conference (ACC) (pp. 3187-3192). (Proceedings of the ... American Control Conference). IEEE. https://doi.org/10.23919/acc55779.2023.10156499
Habich, T. L., Hueter, M., Schappler, M., & Spindeldreier, S. (2023). Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics. In Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation (pp. 9651-9657). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.48550/arXiv.2303.00065, https://doi.org/10.1109/ICRA48891.2023.10161124
Habich, T. L., Kleinjohann, S., & Schappler, M. (2023). Learning-based Position and Stiffness Feedforward Control of Antagonistic Soft Pneumatic Actuators using Gaussian Processes. In 2023 IEEE International Conference on Soft Robotics, RoboSoft 2023 (IEEE International Conference on Soft Robotics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.48550/arXiv.2303.01840, https://doi.org/10.1109/RoboSoft55895.2023.10122057
Ihler, S., & Kuhnke, F. (2023). AUC margin loss for limited, imbalanced and noisy medical image diagnosis: a case study on CheXpert5000. Current Directions in Biomedical Engineering, 9(1), 658-661. https://doi.org/10.1515/cdbme-2023-1165
Jakubowitz, E., Feist, T., Obermeier, A., Gempfer, C., Hurschler, C., Windhagen, H., & Laves, M. H. (2023). Early Predictability of Grasping Movements by Neurofunctional Representations: A Feasibility Study. Applied Sciences (Switzerland), 13(9), Article 5728. https://doi.org/10.3390/app13095728, https://doi.org/10.15488/14099
Job, T.-D., Bensch, M., & Schappler, M. (2023). Multiple Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Utilizing Contact Particle Filter and Kinetostatic Models. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 10224-10231). (Proceedings of the International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS55552.2023.10341897
Lampe, N., Kortmann, K.-P., Westerkamp, C., & Jacob, H.-G. (2023). Active Excitations for Maximum Friction Coefficient Estimation. In IEEE Intelligent Vehicles Symposium (IV 2023) ( IEEE Intelligent Vehicles Symposium). IEEE. https://doi.org/10.1109/IV55152.2023.10186603
Lampe, N., Ziaukas, Z., Westerkamp, C., & Jacob, H.-G. (2023). Analysis of the Potential of Onboard Vehicle Sensors for Model-based Maximum Friction Coefficient Estimation. In 2023 American Control Conference (ACC) (pp. 1622-1628). (Proceedings of the American Control Conference). IEEE. https://doi.org/10.23919/ACC55779.2023.10156574
Lampe, N., Kortmann, K.-P., & Westerkamp, C. (2023). Neural Network based Tire-Road Friction Estimation Using Experimental Data. IFAC-PapersOnLine, 56(3), 397-402. https://doi.org/10.1016/j.ifacol.2023.12.056