Research
Publications

Publications

Showing results 21 - 40 out of 672

2023


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
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). Collision Isolation and Identification Using Proprioceptive Sensing for Parallel Robots to Enable Human-Robot Collaboration. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ( Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). https://doi.org/10.48550/arXiv.2308.09650, https://doi.org/10.1109/iros55552.2023.10342345
Mohammad, A., Muscheid, H., Schappler, M., & Seel, T. (Accepted/In press). Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots.
Mohammad, A., Schappler, M., Habich, T-L., & Ortmaier, T. (2023). Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Key-title Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.48550/arXiv.2308.09656, https://doi.org/10.1109/iros55552.2023.10341581
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
Volkmann, B., Kortmann, K-P., & Seel, T. (2023). Friction and Road Condition Estimation using Bayesian Networks. In 22nd IFAC World Congress (2 ed., Vol. 56, pp. 854-681) https://doi.org/10.1016/j.ifacol.2023.10.1672
Volkmann, B., & Kortmann, K-P. (Accepted/In press). Friction and Road Condition Estimation using Dynamic Bayesian Networks. Paper presented at Combined SDF and MFI Conference 2023, Bonn, Germany.

2022


Badilla Solórzano, J., Spindeldreier, S., Ihler, S., Gellrich, N-C., & Spalthoff, S. (2022). Deep-learning-based instrument detection for intra-operative robotic assistance. International journal of computer assisted radiology and surgery, 17(9), 1685-1695. https://doi.org/10.1007/s11548-022-02715-y
Böttcher-Rebmann, G., Schell, V., Budde, L., Zuniga, M. G., Baier, C., Lenarz, T., & Rau, T. S. (2022). A Tool to Enable Intraoperative Insertion Force Measurements for Cochlear Implant Surgery. IEEE Transactions on Biomedical Engineering, 70(5), 1643-1650. https://doi.org/10.1109/tbme.2022.3224528
Budde, L., Ihler, S., Spindeldreier, S., Lücking, T., Meyer, T., Zimmermann, W-H., & Bodenschatz, E. (2022). A Six Degree of Freedom Extrusion Bioprinter. Current Directions in Biomedical Engineering, 8(2), 137-140. https://doi.org/10.1515/cdbme-2022-1036
Ehlers, S. F. G., Ziaukas, Z., Kobler, J-P., & Jacob, H-G. (2022). State and Parameter Estimation in a Semitrailer for Different Loading Conditions Only Based on Trailer Signals. In Proceedings of the 2022 American Control Conference (ACC) (pp. 2353-2360). (Proceedings of the American Control Conference; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC53348.2022.9867797
Eugster, S., Harsch, J., Bartholdt, M. N., Herrmann, M., Wiese, M., & Capobianco, G. (2022). Soft Pneumatic Actuator Model Based on a Pressure-Dependent Spatial Nonlinear Rod Theory. IEEE Robotics and Automation Letters, 7(2), 2471-2478. https://doi.org/10.1109/lra.2022.3144788
Fast, J. F., Oltmann, A., Spindeldreier, S., & Ptok, M. (2022). Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences. The laryngoscope, 132(12), 2412-2419. https://doi.org/10.1002/lary.30041
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H-G. (2022). Comparison of Different Excitation Strategies for Fault Diagnosis of Belt Drives: Industrial Application Scenarios. In G. Gini, H. Nijmeijer, W. Burgard, & D. P. Filev (Eds.), Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics (pp. 177-184) https://doi.org/10.5220/0011274100003271
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H-G. (2022). Multisine Input Design for Active Data-Driven Fault Diagnosis of Belt Drives. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (pp. 480-485). (IEEE International Symposium on Industrial Electronics; Vol. 2022-June). https://doi.org/10.1109/isie51582.2022.9831682