Publications

Showing results 61 - 80 out of 719

2022


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 (Eds.), Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems (Vol. 1, pp. 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 (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings (pp. 654-663). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 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) (pp. 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) (pp. 376-383). IEEE. https://doi.org/10.1109/robosoft54090.2022.9762177
Munoz Osorio, J. D. (2022). A hierarchical framework for physical human-robot interaction. [Doctoral thesis, Leibniz University 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 (Eds.), Advances in Robot Kinematics 2022 (pp. 399-408). (Springer Proceedings in Advanced Robotics; Vol. 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 (Eds.), Advances in Robot Kinematics 2022 (pp. 198-207). (Springer Proceedings in Advanced Robotics; Vol. 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 (Eds.), Advances in Robot Kinematics 2022 (pp. 188-197). (Springer Proceedings in Advanced Robotics; Vol. 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) (pp. 126-133). (IEEE International Conference on Intelligent Robots and Systems; Vol. 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 (Eds.), International Conference on Informatics in Control, Automation and Robotics (pp. 605-615). (Proceedings of the International Conference on Informatics in Control, Automation and Robotics; Vol. 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 (pp. 86-93) https://doi.org/10.1109/CoDIT55151.2022.9804063
Tantau, M., Perner, L., & Wielitzka, M. (2022). Nutzen von Zusatzsensorik für die Unterscheidbarkeit von Modellen für elektrische Antriebsstränge bei der Struktur- und Parameteridentifikation. In Digital‐Fachtagung MECHATRONIK 2021 : Darmstadt, 24.‐25.03.2021 https://doi.org/10.15488/10426, https://doi.org/10.26083/tuprints-00017626
Volkmann, B., Ziaukas, Z., & Jacob, H.-G. (2022). Estimation of Vehicle Attitude and Side-Slip using a Low-Cost IMU and Kinematic Vehicle Constraints. Paper presented at 15th International Symposium on Advanced Vehicle Control - AVEC'22.

2021


Banerjee, S. S., Arief, I., Berthold, R., Wiese, M., Bartholdt, M., Ganguli, D., Mitra, S., Mandal, S., Wallaschek, J., Raatz, A., Heinrich, G., & Das, A. (2021). Super-elastic ultrasoft natural rubber-based piezoresistive sensors for active sensing interface embedded on soft robotic actuator. Applied Materials Today, 25, Article 101219. https://doi.org/10.1016/j.apmt.2021.101219
Bartholdt, M. N., Wiese, M., Schappler, M., Spindeldreier, S., & Raatz, A. (2021). A Parameter Identification Method for Static Cosserat Rod Models: Application to Soft Material Actuators with Exteroceptive Sensors. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 624-631). (IEEE/RSJ/GI International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.1109/IROS51168.2021.9636447, https://doi.org/10.15488/11625
Berthold, R., Bartholdt, M. N., Wiese, M., Kahms, S., Spindeldreier, S., & Raatz, A. (2021). A Preliminary Study of Soft Material Robotic Modelling: Finite Element Method and Cosserat Rod Model. In 2021 9th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 7-13). IEEE. https://doi.org/10.1109/iccma54375.2021.9646194
Bosselmann, S. (2021). Modellbasierte Auslegung und Steuerung des Vulkanisationsprozesses von Kautschuk. [Doctoral thesis, Leibniz University Hannover]. TEWISS Verlag.