Showing results 1 - 20 out of 661
2023
Ahrens, M. (2023). Aktive, modellbasierte Verschleißbeeinflussung beim Außenrundeinstechschleifen mittels elektromagnetischer Aktoren. [Doctoral thesis, Leibniz University Hannover]. https://doi.org/10.15488/13260
Ayub, M. A., Yusoff, N., & Heinmann, B. (2023). Implementation of Mechatronic Problem-Based Learning for Outcome-Based Education. AIP Conference Proceedings, 2911(1). https://doi.org/10.1063/5.0115801
Bachhuber, S., Lehmann, D., Dorschky, E., Koelewijn, A. D., Seel, T., & Weygers, I. (2023). Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer. IEEE Sensors Letters, 7(10), [7004904]. https://doi.org/10.1109/LSENS.2023.3307122
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/10.1109/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
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
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
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
Job, T-D., Bensch, M., & Schappler, M. (Accepted/In press). Multiple Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Utilizing Contact Particle Filter and Kinetostatic Models. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)
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. (Accepted/In press). Neural Network based Tire-Road Friction Estimation Using Experimental Data. In The 3rd Modeling, Estimation and Control Conference (MECC 2023)
Männel, A. (2023). Integration, Auslegung und Betriebsführung von Energiespeichersystemen in industriellen Gleichspannungsnetzen. [Doctoral thesis, Leibniz University Hannover]. TEWISS Verlag.
Mohammad, A., Schappler, M., & Ortmaier, T. (2023). Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection. In Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation (pp. 12092-12098). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA48891.2023.10161217, https://doi.org/10.1109/ICRA48891.2023.10161217
Schäfke, H., Lampe, N., & Kortmann, K-P. (Accepted/In press). Transformer Neural Networks for Maximum Friction Coefficient Estimation of Tire-Road Contact using Onboard Vehicle Sensors. In 62nd IEEE Conference on Decision and Control (CDC)
Schappler, M. (2023). Pose Optimization of Task-Redundant Robots in Second-Order Rest-to-Rest Motion with Cascaded Dynamic Programming and Nullspace Projection. In O. Gusikhin, K. Madani, & H. Nijmeijer (Eds.), Informatics in Control, Automation and Robotics (pp. 106-131). (Lecture Notes in Electrical Engineering; Vol. 1006 LNEE). Springer. https://doi.org/10.1007/978-3-031-26474-0_6
Sterneck, T., Fettin, J., & Schappler, M. (2023). Task-Specific Synthesis and Design of a Mobile Six-DoF Hexa Parallel Robot for Weed Control. In V. Petuya, G. Quaglia, T. Parikyan, & G. Carbone (Eds.), Proceedings of I4SDG Workshop 2023 (pp. 105-114). (Mechanisms and Machine Science; Vol. 134 ). Springer. https://doi.org/10.1007/978-3-031-32439-0_13