Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

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 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 Actively Learning Gaussian Process Dynamics Buisson-Fenet, M., Solowjow, F., Trimpe, S. Proceedings of the 2nd Conference on Learning for Dynamics and Control, 120:5-15, Proceedings of Machine Learning Research (PMLR), (Editors: Bayen, Alexandre M. and Jadbabaie, Ali and Pappas, George and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire and Zeilinger, Melanie), PMLR, 2nd Annual Conference on Learning for Dynamics and Control (L4DC), June 2020 (Published) ArXiv URL BibTeX

Intelligent Control Systems Conference Paper Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources Haksar, R., Solowjow, F., Trimpe, S., Schwager, M. In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) , :1315-1322, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (Published) PDF BibTeX

Autonomous Motion Probabilistic Numerics Intelligent Control Systems Conference Paper On the Design of LQR Kernels for Efficient Controller Learning Marco, A., Hennig, P., Schaal, S., Trimpe, S. Proceedings of the 56th IEEE Annual Conference on Decision and Control (CDC), :5193-5200, IEEE, IEEE Conference on Decision and Control, December 2017 (Published) arXiv PDF On the Design of LQR Kernels for Efficient Controller Learning - CDC presentation DOI BibTeX

Autonomous Motion Intelligent Control Systems Conference Paper Optimizing Long-term Predictions for Model-based Policy Search Doerr, A., Daniel, C., Nguyen-Tuong, D., Marco, A., Schaal, S., Toussaint, M., Trimpe, S. Proceedings of 1st Annual Conference on Robot Learning (CoRL), 78:227-238, (Editors: Sergey Levine and Vincent Vanhoucke and Ken Goldberg), 1st Annual Conference on Robot Learning, November 2017 (Published) PDF BibTeX

Autonomous Motion Empirical Inference Probabilistic Numerics Intelligent Control Systems Conference Paper Automatic LQR Tuning Based on Gaussian Process Optimization: Early Experimental Results Marco, A., Hennig, P., Bohg, J., Schaal, S., Trimpe, S. Machine Learning in Planning and Control of Robot Motion Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS), Machine Learning in Planning and Control of Robot Motion Workshop, October 2015 (Published) PDF DOI BibTeX

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