Publikationen
Laidig, D., & Seel, T. (2023). VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection. Information Fusion, 91, 187-204. https://doi.org/10.48550/arXiv.2203.17024, https://doi.org/10.1016/j.inffus.2022.10.014
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Lehmann, D., Drebinger, P., Seel, T., & Raisch, J. (2023). Data-Driven Dynamic Input Transfer for Learning Control in Multi-Agent Systems with Heterogeneous Unknown Dynamics. in 2023 62nd IEEE Conference on Decision and Control, CDC 2023 (S. 2358-2365). (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/cdc49753.2023.10383433
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Lehmann, D., Drebinger, P., & Seel, T. (2023). Input trajectory transfer in heterogeneous dynamic systems for muscular stimulation. Proceedings on Automation in Medical Engineering, 2(1).
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Pawluchin, A., Meindl, M., Seel, T., & Boblan, I. (2023). Accurate and agile control of a pneumatic robotic actuator by GP-based feedforward learning. Proceedings on Automation in Medical Engineering, 2(1), Artikel 753. https://www.journals.infinite-science.de/index.php/automed/article/view/753
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Sharma, A., Salchow-Hömmen, C., Mollyn, V. S., Nittala, A. S., Hedderich, M. A., Koelle, M., Seel, T., & Steimle, J. (2023). SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Transactions on Computer-Human Interaction, 30(3), Artikel 39. https://doi.org/10.1145/3569894
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Volkmann, B., Kortmann, K.-P., & Seel, T. (2023). Friction and Road Condition Estimation using Bayesian Networks. in H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Hrsg.), 22nd IFAC World Congress (2 Aufl., Band 56, S. 854-861). (IFAC-PapersOnLine; Band 56, Nr. 2). https://doi.org/10.1016/j.ifacol.2023.10.1672
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Weygers, I., Lehmann, D., Bachhuber, S., Laidig, D., & Seel, T. (2023). Do we still need magnetometers for inertial motion tracking? Proceedings on Automation in Medical Engineering.
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Bachhuber, S., Weber, D., Weygers, I., & Seel, T. (2022). RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking. in 2022 25th International Conference on Information Fusion, FUSION 2022 (2022 25th International Conference on Information Fusion, FUSION 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/FUSION49751.2022.9841375
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Haji Hassani, R., Bannwart, M., Bolliger, M., Seel, T., Brunner, R., & Rauter, G. (2022). Real-time motion onset recognition for robot-assisted gait rehabilitation. Journal of NeuroEngineering and Rehabilitation, 19(1), Artikel 11. https://doi.org/10.1186/s12984-022-00984-x
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Halt, L., Meindl, M., Bayer, V., Kraus, W., & Seel, T. (2022). Autonomous Cycle Time Reduction of Robotic Tasks Using Iterative Learning Control. in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (S. 12405-12411). ( Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.1109/IROS47612.2022.9981042
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Hassani, R. H., Willi, R., Rauter, G., Bolliger, M., & Seel, T. (2022). Validation of Non-Restrictive Inertial Gait Analysis of Individuals with Incomplete Spinal Cord Injury in Clinical Settings. Sensors, 22(11), Artikel 4237. https://doi.org/10.3390/s22114237
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Kok, M., Eckhoff, K., Weygers, I., & Seel, T. (2022). Observability of the relative motion from inertial data in kinematic chains. Control engineering practice, 125, Artikel 105206. https://doi.org/10.1016/j.conengprac.2022.105206
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Laidig, D., Weygers, I., & Seel, T. (2022). Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints. Sensors, 22(24), Artikel 9850. https://doi.org/10.3390/s22249850
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Laidig, D., Weygers, I., Bachhuber, S., & Seel, T. (2022). VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation. in 2022 25th International Conference on Information Fusion, FUSION 2022 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/fusion49751.2022.9841356
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Lippi, V., Mergner, T., Maurer, C., & Seel, T. (2022). Performance Indicators of Humanoid Posture Control and Balance Inspired by Human Experiments. in Biosystems and Biorobotics (S. 597-601). (Biosystems and Biorobotics; Band 27). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-69547-7_96
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Meindl, M., Lehmann, D., & Seel, T. (2022). Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics. Frontiers in Robotics and AI, 9, Artikel 793512. https://doi.org/10.3389/frobt.2022.793512
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Meindl, M., Molinari, F., Lehmann, D., & Seel, T. (2022). Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks. IEEE Transactions on Control Systems Technology, 30(4), 1390-1402. https://doi.org/10.1109/TCST.2021.3109646, https://doi.org/10.48550/arXiv.2104.07620
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Mittag, C., Waldheim, V., Krause, A., & Seel, T. (2022). Using a single inertial sensor to control exergames for children with cerebral palsy. Current Directions in Biomedical Engineering, 8(2), 431-434. https://doi.org/10.1515/cdbme-2022-1110
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Rauter, G., Seel, T., & Rostalski, P. (2022). Special issue: AUTOMED 2021: Automation in Medical Technology. At-Automatisierungstechnik, 70(11), 933-934. https://doi.org/10.1515/auto-2022-0133
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Rodrigo Marco, V., Kalkkuhl, J. C., Raisch, J., & Seel, T. (2022). Regularized adaptive Kalman filter for non-persistently excited systems. AUTOMATICA, 138, Artikel 110147. https://doi.org/10.1016/j.automatica.2021.110147
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