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2022
Ehlers, S. F. G., Ziaukas, Z., Kobler, J.-P., & Jacob, H.-G. (2022). State and Parameter Estimation in a Semitrailer for Different Loading Conditions Only Based on Trailer Signals. In Proceedings of the 2022 American Control Conference (ACC) (S. 2353-2360). (Proceedings of the American Control Conference; Band 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC53348.2022.9867797
Eugster, S., Harsch, J., Bartholdt, M. N., Herrmann, M., Wiese, M., & Capobianco, G. (2022). Soft Pneumatic Actuator Model Based on a Pressure-Dependent Spatial Nonlinear Rod Theory. IEEE Robotics and Automation Letters, 7(2), 2471-2478. https://doi.org/10.1109/lra.2022.3144788
Fast, J. F., Oltmann, A., Spindeldreier, S., & Ptok, M. (2022). Computational Analysis of the Droplet-Stimulated Laryngeal Adductor Reflex in High-Speed Sequences. The laryngoscope, 132(12), 2412-2419. https://doi.org/10.1002/lary.30041
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H.-G. (2022). Comparison of Different Excitation Strategies for Fault Diagnosis of Belt Drives: Industrial Application Scenarios. In G. Gini, H. Nijmeijer, W. Burgard, & D. P. Filev (Hrsg.), Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics (S. 177-184) https://doi.org/10.5220/0011274100003271
Fehsenfeld, M. J., Kühn, J., Ziaukas, Z., & Jacob, H.-G. (2022). Multisine Input Design for Active Data-Driven Fault Diagnosis of Belt Drives. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (S. 480-485). (IEEE International Symposium on Industrial Electronics; Band 2022-June). https://doi.org/10.1109/isie51582.2022.9831682
Fink, D., Schulz, Y., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H.-G. (2022). Assessment of Algorithms for a Real-Time Optimization of the Vehicle Speed. In Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22) (Band 15).
Fink, D., Shugar, S., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H.-G. (2022). Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. In J. Ploeg, J. Ploeg, M. Helfert, K. Berns, & O. Gusikhin (Hrsg.), Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems (Band 1, S. 116 - 123). (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings). https://doi.org/10.5220/0011075600003191
Ihler, S., Kuhnke, F., & Spindeldreier, S. (2022). A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Hrsg.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings (S. 654-663). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13431 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16431-6_62, https://doi.org/10.48550/arXiv.2302.06684
Lampe, N., Ziaukas, Z., Westerkamp, C., & Jacob, H.-G. (2022). Estimation of Maximum Friction Coefficient Using Recurrent Artificial Neural Networks. In 2022 The 3rd International Conference on Robotics Systems and Vehicle Technology (RSVT) (S. 28-35). Association for Computing Machinery (ACM). https://doi.org/10.1145/3560453.3560459
Mehl, M., Bartholdt, M. N., & Schappler, M. (2022). Dynamic Modeling of Soft-Material Actuators Combining Constant Curvature Kinematics and Floating-Base Approach. In 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft) (S. 376-383). IEEE. https://doi.org/10.1109/robosoft54090.2022.9762177
Munoz Osorio, J. D. (2022). A hierarchical framework for physical human-robot interaction. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/12675
Rauter, G., Seel, T., & Rostalski, P. (2022). AUTOMED 2021: Automation in Medical Technology. de Gruyter.
Schappler, M., Jahn, P., Raatz, A., & Ortmaier, T. (2022). Combined Structural and Dimensional Synthesis of a Parallel Robot for Cryogenic Handling Tasks. In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021 Springer. https://doi.org/10.1007/978-3-030-74032-0_6
Schappler, M., Blum, T., & Job, T.-D. (2022). Geometric Model for Serial-Chain Robot Inverse Kinematics in Case of Two Translational DoF, Spatial Rotation and Functional Redundancy. In O. Altuzarra, & A. Kecskeméthy (Hrsg.), Advances in Robot Kinematics 2022 (S. 399-408). (Springer Proceedings in Advanced Robotics; Band 24 SPAR). Springer, Cham. https://doi.org/10.15488/12465, https://doi.org/10.1007/978-3-031-08140-8_43
Schappler, M. (2022). Inverse Kinematics for Functional Redundancy of Symmetric 3T1R Parallel Manipulators Using Tait-Bryan-Angle Kinematic Constraints. In O. Altuzarra, & A. Kecskeméthy (Hrsg.), Advances in Robot Kinematics 2022 (S. 198-207). (Springer Proceedings in Advanced Robotics; Band 24 SPAR). Springer, Cham. https://doi.org/10.1007/978-3-031-08140-8_22, https://doi.org/10.1007/978-3-031-08140-8_22
Schappler, M. (2022). Structural and Dimensional Synthesis of Overconstraint Symmetric 3T2R Parallel Robots Using Tait-Bryan-Angle Kinematic Constraints. In O. Altuzarra, & A. Kecskeméthy (Hrsg.), Advances in Robot Kinematics 2022 (S. 188-197). (Springer Proceedings in Advanced Robotics; Band 24 SPAR). Springer, Cham. https://doi.org/10.15488/12463, https://doi.org/10.1007/978-3-031-08140-8_21
Schell, V., Böttcher-Rebmann, G., Budde, L., Zuniga, M. G., Lenarz, T., & Rau, T. S. (2022). A method to visualize orientation-independent forces in real-time during cochlear implant electrode array insertion. https://doi.org/10.1055/s-0042-1746802
Stuede, M., & Schappler, M. (2022). Non-Parametric Modeling of Spatio-Temporal Human Activity Based on Mobile Robot Observations. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (S. 126-133). (IEEE International Conference on Intelligent Robots and Systems; Band 2022-October). https://doi.org/10.48550/arXiv.2203.06911, https://doi.org/10.1109/iros47612.2022.9982067
Tantau, M., Jonsky, T., Ziaukas, Z., & Jacob, H.-G. (2022). Control-relevant Model Selection for Multiple-Mass Systems. In G. Gini, H. Nijmeijer, W. Burgard, & D. P. Filev (Hrsg.), International Conference on Informatics in Control, Automation and Robotics (S. 605-615). (Proceedings of the International Conference on Informatics in Control, Automation and Robotics; Band 1). SciTePress. https://doi.org/10.15488/11990, https://doi.org/10.5220/0011231200003271
Tantau, M., Jonsky, T., Ziaukas, Z., & Jacob, H.-G. (2022). Control-Relevant Model Selection for Servo Control Systems. In 8th International Conference on Control, Decision and Information Technologies (S. 86-93) https://doi.org/10.1109/CoDIT55151.2022.9804063