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2024
Budde, L., Hentschel, J., Ihler, S., & Seel, T. (2024). Achieving near-zero particle generation by simplicity of design—A compliant-mechanism-based gripper for clean-room environments. SLAS Technology, 29(4), Artikel 100148. https://doi.org/10.1016/j.slast.2024.100148, https://doi.org/10.15488/17840
Ewering, J. H., Schwarz, C., Ehlers, S. F. G., Jacob, H. G., Seel, T., & Heckmann, A. (2024). Integrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels. IEEE Transactions on Vehicular Technology, 73(6), 7852-7865. https://doi.org/10.48550/arXiv.2309.09769, https://doi.org/10.1109/TVT.2024.3350699
Ewering, J.-H., Ziaukas, Z., Ehlers, S. F. G., & Seel, T. (2024). Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter. In 2024 European Control Conference, ECC 2024 (S. 456-463). IEEE. https://doi.org/10.48550/arXiv.2406.14028, https://doi.org/10.23919/ECC64448.2024.10590814
Fink, D., Maas, O., Herda, D., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H. G. (2024). Data-Based Energy Demand Prediction for Hybrid Electrical Vehicles. SN Computer Science, 5, Artikel 192. https://doi.org/10.1007/s42979-023-02475-9
Habich, T. L., Haack, J., Belhadj, M., Lehmann, D., Seel, T., & Schappler, M. (2024). SPONGE: Open-Source Designs of Modular Articulated Soft Robots. IEEE Robotics and Automation Letters, 9(6), 5346-5353. https://doi.org/10.48550/arXiv.2404.10734, https://doi.org/10.1109/LRA.2024.3388855
Ihler, S., Kuhnke, F., Kuhlgatz, T., & Seel, T. (2024). Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (S. 2295-2304) Vorabveröffentlichung online.
Jakubowitz, E., Schmidt, L., Obermeier, A., Spindeldreier, S., Windhagen, H., & Hurschler, C. (2024). Investigation of adaptive muscle synergy modulated motor responses to grasping perturbations. Scientific reports, 14(1), Artikel 18493. Vorabveröffentlichung online. https://doi.org/10.1038/s41598-024-68386-8
Jocham, A. J., Laidig, D., Guggenberger, B., & Seel, T. (2024). Measuring highly accurate foot position and angle trajectories with foot-mounted IMUs in clinical practice. Gait and Posture, 108, 63-69. https://doi.org/10.1016/j.gaitpost.2023.11.002
Kuhlgatz, T., Ihler, S., Bonhage, M., & Seel, T. (Angenommen/im Druck). Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation. Beitrag in ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, Großbritannien / Vereinigtes Königreich.
Lampe, N., Ehlers, S. F. G., Kortmann, K.-P., Westerkamp, C., & Seel, T. (Angenommen/im Druck). Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. In 2024 35th IEEE Intelligent Vehicles Symposium (IV)
Lilge, S., Nuelle, K., Childs, J. A., Wen, K., Rucker, D. C., & Burgner-Kahrs, J. (2024). Parallel-Continuum Robots: A Survey. IEEE transactions on robotics, 40, 3252-3270. https://doi.org/10.1109/TRO.2024.3415230
Meindl, M., Bachhuber, S., & Seel, T. (2024). AI-MOLE: Autonomous Iterative Motion Learning for unknown nonlinear dynamics with extensive experimental validation. Control engineering practice, 145, Artikel 105879. https://doi.org/10.1016/j.conengprac.2024.105879
Mohammad, A., Muscheid, H., Schappler, M., & Seel, T. (2024). Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots. 137-150. https://doi.org/10.1007/978-3-031-55000-3_10
Pawluchin, A., Meindl, M., Weygers, I., Seel, T., & Boblan, I. (2024). Gaussian process-based nonlinearity compensation for pneumatic soft actuators. At-Automatisierungstechnik, 72(5), 440-448. https://doi.org/10.1515/auto-2023-0237
Rostalski, P., Schanze, T., & Seel, T. (2024). Special issue AUTOMED. At-Automatisierungstechnik, 72(5), 387-388. https://doi.org/10.1515/auto-2024-0057
Seel, T., Kolditz, T., Overmeyer, L., Lukas, M., Leineweber, S., Leineweber, A., Orimi, A. G., & Kuhlgatz, T. (2024). KI im Maschinenbau: Zu den Auswirkungen und Veränderungen in Wissenschaft und Arbeitswelt. Uni-Magazin, Hannover, 1(2), 12-16. https://doi.org/10.15488/17789
2023
Ahrens, M. (2023). Aktive, modellbasierte Verschleißbeeinflussung beim Außenrundeinstechschleifen mittels elektromagnetischer Aktoren. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. https://doi.org/10.15488/13260
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), Artikel 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