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2024
Bachhuber, S., Weygers, I., & Seel, T. (2024). Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING). IFAC-PapersOnLine, 58(24), 117-122. https://doi.org/10.48550/arXiv.2409.02502, https://doi.org/10.1016/j.ifacol.2024.11.022
Badilla-Solórzano, J., Ihler, S., & Seel, T. (2024). HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping. International journal of computer assisted radiology and surgery, 19(12), 2363-2370. https://doi.org/10.1007/s11548-024-03245-5
Bensch, M., Job, T. D., Habich, T. L., Seel, T., & Schappler, M. (2024). Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory. In 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 (S. 17293-17299). (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA57147.2024.10610742
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), 100148. Artikel 100148. https://doi.org/10.1016/j.slast.2024.100148, https://doi.org/10.15488/17840
Budde, L., Dreger, J., Egger, D., & Seel, T. (2024). Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data. Current Directions in Biomedical Engineering, 10(4), 123–126. https://doi.org/10.1515/cdbme-2024-2030
Einfeldt, A. K., Budde, L., Ortigas-Vásquez, A., Sauer, A., Utz, M., & Jakubowitz, E. (2024). A new method called MiKneeSoTA to minimize knee soft-tissue artifacts in kinematic analysis. Scientific reports, 14(1), Artikel 20666. https://doi.org/10.1038/s41598-024-71409-z
Ewering, J.-H., Volkmann, B., Ehlers, S. F. G., Seel, T., & Meindl, M. B. (2024). Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline. In IEEE Conference on Decision and Control Vorabveröffentlichung online.
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., Schappler, M., & Ortmaier, T. (2024). Grundlagen der Robotik. In U. Grünhaupt, & M. Ruskowski (Hrsg.), Handbuch der Mess- und Automatisierungstechnik in der Produktion (S. 1-14). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62424-1_59-3
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. 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. (2024). Deep Learning Based Crack Detection in Inhomogeneous X-Ray Images for High Pressure Turbine Blades in Aviation. In Controls, Diagnostics, and Instrumentation (Band 4). Artikel GT2024-123663 (Proceedings of the ASME Turbo Expo; Band 4). https://doi.org/10.1115/gt2024-123663
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
Mehl, M., Bartholdt, M., Ehlers, S. F. G., Seel, T., & Schappler, M. (2024). Adaptive State Estimation with Constant-Curvature Dynamics Using Force-Torque Sensors with Application to a Soft Pneumatic Actuator. In 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 (S. 14939-14945). (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA57147.2024.10610370
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