Publications
Showing results 1 - 9 out of 9
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 (pp. 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
Habich, T.-L., Schappler, M., & Ortmaier, T. (2024). Grundlagen der Robotik. In U. Grünhaupt, & M. Ruskowski (Eds.), Handbuch der Mess- und Automatisierungstechnik in der Produktion (pp. 1-14). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62424-1_59-3
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
Schäfke, H., Habich, T.-L., Muhmann, C., Ehlers, S., Seel, T., & Schappler, M. (2024). Learning-Based Nonlinear Model Predictive Control of Articulated Soft Robots Using Recurrent Neural Networks. IEEE Robotics and Automation Letters, 9(12), Article 11609. https://doi.org/10.48550/arXiv.2411.05616, https://doi.org/10.1109/lra.2024.3495579
Habich, T. L., Hueter, M., Schappler, M., & Spindeldreier, S. (2023). Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics. In Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation (pp. 9651-9657). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.48550/arXiv.2303.00065, https://doi.org/10.1109/ICRA48891.2023.10161124
Habich, T. L., Kleinjohann, S., & Schappler, M. (2023). Learning-based Position and Stiffness Feedforward Control of Antagonistic Soft Pneumatic Actuators using Gaussian Processes. In 2023 IEEE International Conference on Soft Robotics, RoboSoft 2023 (IEEE International Conference on Soft Robotics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.48550/arXiv.2303.01840, https://doi.org/10.1109/RoboSoft55895.2023.10122057
Mohammad, A., Schappler, M., Habich, T.-L., & Ortmaier, T. (2023). Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5966-5973). (Key-title Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.48550/arXiv.2308.09656, https://doi.org/10.1109/iros55552.2023.10341581
Habich, T.-L., Stuede, M., Labbé, M., & Spindeldreier, S. (2021). Have I been here before? Learning to Close the Loop with LiDAR Data in Graph-Based SLAM. In Proceedings of the 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM): July 12-16, 2021, Delft, The Netherlands (pp. 504-510) https://doi.org/10.1109/AIM46487.2021.9517565
Habich, T.-L., Kaczor, D., Tappe, S., & Ortmaier, T. (2019). Online Learning of the Inverse Dynamics with Parallel Drifting Gaussian Processes: Implementation of an Approach for Feedforward Control of a Parallel Kinematic Industrial Robot. In Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 (pp. 962-969). Article 8816298 (Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2019.8816298