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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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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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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
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Bank, D., Fink, D., Ehlers, S. F. G., & Seel, T. (2024). Neural Network-Based Prediction of Vehicle Energy Consumption on Highways. In 2024 European Control Conference, ECC 2024 (S. 711-717). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ECC64448.2024.10590711
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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
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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
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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
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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. https://doi.org/10.48550/arXiv.2409.09331
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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
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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
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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
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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). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CVPRW63382.2024.00235
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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
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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
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Kuhlgatz, T., Jordine, M., Lehmann, D., & Seel, T. (2024). On Stair Walk Recognition Using a Single Magnetometer-free IMU and Deep Learning. Current Directions in Biomedical Engineering, 10(4), 404-407. https://doi.org/10.1515/cdbme-2024-2099
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Lampe, N., Ehlers, S. F. G., Kortmann, K.-P., Westerkamp, C., & Seel, T. (2024). Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. In Conference Proceedings - 2024 35th IEEE Intelligent Vehicles Symposium (IV) (S. 2141-2147). (IEEE Intelligent Vehicles Symposium ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IV55156.2024.10588642
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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
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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
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Meindl, M., Mönkemöller, R., & Seel, T. (2024). Autonomous Iterative Motion Learning (AI-MOLE) of a SCARA Robot for Automated Myocardial Injection. IFAC-PapersOnLine, 58(24), 380-385. https://doi.org/10.48550/arXiv.2409.06361, https://doi.org/10.1016/j.ifacol.2024.11.067
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