Intelligent Control Systems Conference Paper Probabilistic robust linear quadratic regulators with Gaussian processes von Rohr, A., Neumann-Brosig, M., Trimpe, S. Proceedings of the 3rd Conference on Learning for Dynamics and Control, 324-335, Proceedings of Machine Learning Research (PMLR), Vol. 144, (Editors: Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.), PMLR, Brookline, MA 02446 , 3rd Annual Conference on Learning for Dynamics and Control (L4DC), June 2021 (Published) DOI URL BibTeX

Intelligent Control Systems Conference Paper On exploration requirements for learning safety constraints Massiani, P., Heim, S., Trimpe, S. In Proceedings of the 3rd Conference on Learning for Dynamics and Control, 905-916, Proceedings of Machine Learning Research (PMLR), Vol. 144, (Editors: Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie), PMLR, 3rd Annual Conference on Learning for Dynamics and Control (L4DC), June 2021 (Published) URL BibTeX

Intelligent Control Systems Article Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective Geist, A. R., Trimpe, S. GAMM-Mitteilungen, 44(2):e202100009, Special Issue: Scientific Machine Learning, 2021 (Published) DOI BibTeX

Intelligent Control Systems Conference Paper Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Fiedler, C., Scherer, C. W., Trimpe, S. In The Thirty-Fifth AAAI Conference on Artificial Intelligence, the Thirty-Third Conference on Innovative Applications of Artificial Intelligence, the Eleventh Symposium on Educational Advances in Artificial Intelligence, 8:7439-7447, AAAI Press, Palo Alto, CA, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Thirty-Third Conference on Innovative Applications of Artificial Intelligence (IAAI 2021), Eleventh Symposium on Educational Advances in Artificial Intelligence (EAAI 2021), May 2021 URL BibTeX

Intelligent Control Systems Movement Generation and Control Probabilistic Numerics Empirical Inference Article Robot Learning with Crash Constraints Marco, A., Baumann, D., Khadiv, M., Hennig, P., Righetti, L., Trimpe, S. IEEE Robotics and Automation Letters, 6(2):1439-1446, IEEE, February 2021 (Published) DOI URL BibTeX

Intelligent Control Systems Article Controller Design via Experimental Exploration With Robustness Guarantees Holicki, T., Scherer, C. W., Trimpe, J. S. IEEE Control Systems Letters, 5(2):641-646, 2021 DOI BibTeX

Intelligent Control Systems Article Event-triggered Learning for Linear Quadratic Control Schlüter, H., Solowjow, F., Trimpe, S. IEEE Transactions on Automatic Control, 66(10):4485-4498, 2021 (Published) arXiv DOI BibTeX

Intelligent Control Systems Article Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models Buisson-Fenet, M., Morgenthaler, V., Trimpe, S., Di Meglio, F. IEEE Control Systems Letters, 5(5):1627-1632, 2021 DOI BibTeX

Intelligent Control Systems Empirical Inference Article Learning Event-triggered Control from Data through Joint Optimization Funk, N., Baumann, D., Berenz, V., Trimpe, S. IFAC Journal of Systems and Control, 16:100144, 2021 arXiv DOI URL BibTeX

Intelligent Control Systems Article Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges Baumann, D., Mager, F., Wetzker, U., Thiele, L., Zimmerling, M., Trimpe, S. Proceedings of the IEEE, 109(4):441-467, 2021 (Published) arXiv DOI BibTeX