Publikationen

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

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., Job, T.-D., & Ortmaier, T. (2021). A Maple Toolchain for Rigid Body Dynamics of Serial, Hybrid and Parallel Robots. In R. M. Corless, J. Gerhard, & I. S. Kotsireas (Hrsg.), Maple in Mathematics Education and Research - 4th Maple Conference, MC 2020, Revised Selected Papers: Maple in Mathematics Education and Research (S. 350-364). (Communications in Computer and Information Science; Band 1414). Springer, Cham. https://doi.org/10.15488/11141, https://doi.org/10.1007/978-3-030-81698-8_23