Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

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Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

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BibTeX

Intelligent Control Systems Conference Paper Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees Fiedler, C., Scherer, C. W., Trimpe, S. In 60th IEEE Conference on Decision and Control (CDC), IEEE, December 2021, Accepted (Accepted) URL BibTeX

Intelligent Control Systems Conference Paper Local policy search with Bayesian optimization Müller, S., von Rohr, A., Trimpe, S. In Advances in Neural Information Processing Systems 34, 25:20708-20720, (Editors: Ranzato, M. and Beygelzimer, A. and Dauphin, Y. and Liang, P. S. and Wortman Vaughan, J.), Curran Associates, Inc., Red Hook, NY, 35th Conference on Neural Information Processing Systems (NeurIPS 2021) , December 2021 (Published) arXiv GitHub URL BibTeX

Physical Intelligence Intelligent Control Systems Article Task space adaptation via the learning of gait controllers of magnetic soft millirobots Demir, S. O., Culha, U., Karacakol, A. C., Pena-Francesch, A., Trimpe, S., Sitti, M. The International Journal of Robotics Research, 40(12-14):1331-1351, December 2021 () DOI BibTeX

Intelligent Control Systems Conference Paper Using Physics Knowledge for Learning Rigid-Body Forward Dynamics with Gaussian Process Force Priors Rath, L., Geist, A. R., Trimpe, S. In Proceedings of the 5th Conference on Robot Learning, 164:101-111, Proceedings of Machine Learning Research, (Editors: Faust, Aleksandra and Hsu, David and Neumann, Gerhard), PMLR, 5th Conference on Robot Learning (CoRL 2021), November 2021 (Published) URL BibTeX

Intelligent Control Systems Conference Paper GoSafe: Globally Optimal Safe Robot Learning Baumann, D., Marco, A., Turchetta, M., Trimpe, S. In 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), :4452-4458, IEEE, Piscataway, NJ, IEEE International Conference on Robotics and Automation (ICRA 2021), October 2021 (Published) DOI BibTeX

Intelligent Control Systems Ph.D. Thesis Models for Data-Efficient Reinforcement Learning on Real-World Applications Doerr, A. University of Stuttgart, Stuttgart, October 2021 () DOI BibTeX

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

Dynamic Locomotion Intelligent Control Systems Conference Paper A little damping goes a long way Heim, S., Millard, M., Mouel, C. L., Badri-Spröwitz, A. In Integrative and Comparative Biology, 61(Supplement 1):E367-E367, Oxford University Press, Society for Integrative and Comparative Biology Annual Meeting (SICB Annual Meeting 2021) , March 2021 (Published) DOI 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 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

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