Publikationen
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Habich, T. L., Mohammad, A., Ehlers, S. F. G., Bensch, M., Seel, T., & Schappler, M. (2026). Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks. IEEE Transactions on Robotics, 42, 619 - 636. https://doi.org/10.1109/TRO.2025.3631818, https://doi.org/10.48550/arXiv.2502.01916
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Pawluchin, A., Habich, T.-L., Seel, T., & Boblan, I. (2026). Data-driven pressure controller using proportional piezoelectric valves for soft pneumatic actuators. MECHATRONICS, 113, 103428. https://doi.org/10.1016/j.mechatronics.2025.103428
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Weiss, M., Pawluchin, A., Ewering, J. H., Seel, T., & Boblan, I. (2026). Lagrangian Neural Network-Based Control: Improving Robotic Trajectory Tracking via Linearized Feedback. IEEE Robotics and Automation Letters, 11(3), 2546-2553. https://doi.org/10.1109/LRA.2026.3653326
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Bachhuber, S., Lehmann, D., Weygers, I., & Seel, T. (2025). DIODEM – A Diverse Inertial and Optical Dataset of kinEmatic chain Motion. Scientific data, 12(1), Artikel 1285. https://doi.org/10.1038/s41597-025-05468-w
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Bank, D., Kobler, J. P., Zeller, T., Cujic, P., Seel, T., & Ehlers, S. F. G. (2025). Thermal and power consumption model of an electrically refrigerated trailer. International Journal of Refrigeration, 176, 425-436. https://doi.org/10.1016/j.ijrefrig.2025.04.026
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Budde, L., Kraudelt, S., Dreger, J., Egger, D., & Seel, T. (2025). Camera-based In-Process Evaluation and Parameter Study of Core-Shell-Capsule Dimensions. In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (S. 1-7). (Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference). https://doi.org/10.1109/EMBC58623.2025.11253035
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Budde, L., Hundertmark, J., Meyer, T., Seel, T., & Weber, D. O. M. (2025). HYBERFLOW — enabling non-invasive flow rate feedback control in bioprinting via hydraulic actuation. Bioprinting, 50, Artikel e00435. https://doi.org/10.1016/j.bprint.2025.e00435
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Dorschky, E., Nitschke, M., Mayer, M., Weygers, I., Gassner, H., Seel, T., Eskofier, B. M., & Koelewijn, A. D. (2025). Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions. Frontiers in Bioengineering and Biotechnology, 13, Artikel 1507162. https://doi.org/10.3389/fbioe.2025.1507162
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Ewering, J.-H., Papa, A., Ehlers, S. F. G., Seel, T., & Meindl, M. B. (2025). Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems. Vorabveröffentlichung online. https://doi.org/10.48550/arXiv.2509.18723
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Ewering, J.-H., Herrmann, R. E., Wahlström, N., Schön, T. B., & Seel, T. (2025). Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes. Vorabveröffentlichung online. https://doi.org/10.48550/arXiv.2511.05330
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Kuhlgatz, T., Bachhuber, S., Seel, T., & Weber, D. O. M. (Angenommen/im Druck). A Plug-and-Play Inertial Motion Tracking Method for Magnetometer-free Orientation Estimation of Arbitrary Joints. Beitrag in 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Copenhagen, Dänemark. https://repo.uni-hannover.de/workflowitems/7425/view
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Meindl, M., Bachhuber, S., & Seel, T. (2025). Iterative Model Learning and Dual Iterative Learning Control: A Unified Framework for Data-Driven Iterative Learning Control. IEEE Transactions on Automatic Control, 70(12), 7818 - 7829. https://doi.org/10.1109/TAC.2025.3577958
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Mohammad, A., Piosik, J., Lehmann, D., Seel, T., & Schappler, M. (2025). Fast Contact Detection via Fusion of Joint and Inertial Sensors for Parallel Robots in Human-Robot Collaboration. IEEE Robotics and Automation Letters, 10(7), 7547 - 7554. https://doi.org/10.1109/LRA.2025.3575326, https://doi.org/10.48550/arXiv.2505.08334
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Schweitzer, R., Seel, T., Raisch, J., & Rolfs, M. (2025). Early visual signatures and benefits of intra-saccadic motion streaks. PLoS Computational Biology, 21(9), Artikel e1013544. https://doi.org/10.1371/journal.pcbi.1013544
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Schweitzer, R., Doering, M., Seel, T., Raisch, J., & Rolfs, M. (2025). Saccadic omission revisited: What saccade-induced smear looks like. bioRxiv. Vorabveröffentlichung online. https://doi.org/10.1101/2023.03.15.532538
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Sterneck, T., Zumsande, J., Habich, T. L., Mohammad, A., Ehlers, S., Schappler, M., & Seel, T. (2025). A Modular and Open-Source Remote Laboratory for Practical Education on Mechatronic Test Benches. In R. Balogh, D. Obdržálek, & N. Fachantidis (Hrsg.), Robotics in Education - Proceedings of the RiE 2025 Conference (S. 460-473). (Lecture Notes in Networks and Systems; Band 1544 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-98762-5_39
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Bachhuber, S., Pawluchin, A., Pal, A., Boblan, I., & Seel, T. (2024). A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (S. 11368-11373). (IEEE International Conference on Intelligent Robots and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IROS58592.2024.10801724, https://doi.org/10.48550/arXiv.2408.03754
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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
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Bachhuber, S., Weygers, I., Lehmann, D., Dombrowski, M., & Seel, T. (2024). Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution. Transactions on Machine Learning Research, 2024, 1-30. Vorabveröffentlichung online.
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Badilla Solórzano, J. A., Gellrich, N. C., Seel, T., & Ihler, S. (2024). Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses. In Y. Xue, C. Chen, C. Chen, L. Zuo, & Y. Liu (Hrsg.), Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings (S. 95-105). ( Lecture Notes in Computer Science ; Band 14379). Springer. https://doi.org/10.1007/978-3-031-58171-7_10
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