Publikationen
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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
Job, T.-D., Bensch, M., & Schappler, M. (2023). Multiple Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Utilizing Contact Particle Filter and Kinetostatic Models. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (S. 10224-10231). (Proceedings of the International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS55552.2023.10341897
Kaczor, D., Bensch, M., Schappler, M., & Ortmaier, T. (2020). Trajectory optimization for the handling of elastically coupled objects via reinforcement learning and flatness-based control. In Annals of scientific society for assembly, handling and industrial robotics (S. 319-329). Springer Verlag. https://doi.org/10.1007/978-3-662-61755-7_29
Bensch, M., Müller, M., Bode, M., & Glasmacher, B. (2016). Automation of a test bench for accessing the bendability of electrospun vascular grafts. Current Directions in Biomedical Engineering, 2(1), 307-310. https://doi.org/10.1515/cdbme-2016-0068