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

AI

Career

Award


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 Conference Paper Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets Hausman, K., Chebotar, Y., Schaal, S., Sukhatme, G., Lim, J. In Proceedings from the conference "Neural Information Processing Systems 2017., (Editors: Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.), Curran Associates, Inc., Advances in Neural Information Processing Systems 30 (NIPS 2017), December 2017 () pdf video BibTeX

Autonomous Motion Article Interactive Perception: Leveraging Action in Perception and Perception in Action Bohg, J., Hausman, K., Sankaran, B., Brock, O., Kragic, D., Schaal, S., Sukhatme, G. IEEE Transactions on Robotics, 33:1273-1291, December 2017 (Published) arXiv DOI BibTeX

Autonomous Motion Article Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning Li, W., Bohg, J., Fritz, M. arXiv, November 2017, Submitted (Submitted) arXiv 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 Conference Paper A New Data Source for Inverse Dynamics Learning Kappler, D., Meier, F., Ratliff, N., Schaal, S. In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2017 () BibTeX

Empirical Inference Autonomous Motion Conference Paper Bayesian Regression for Artifact Correction in Electroencephalography Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, :131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, :160-164, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (Published) DOI BibTeX

Autonomous Motion Conference Paper On the relevance of grasp metrics for predicting grasp success Rubert, C., Kappler, D., Morales, A., Schaal, S., Bohg, J. In Proceedings of the IEEE/RSJ International Conference of Intelligent Robots and Systems, September 2017, Accepted (Accepted) BibTeX

Autonomous Motion Conference Paper Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Chebotar, Y., Hausman, K., Zhang, M., Sukhatme, G., Schaal, S., Levine, S. Proceedings of the 34th International Conference on Machine Learning, 70, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 () pdf video BibTeX

Empirical Inference Autonomous Motion Conference Paper Local Bayesian Optimization of Motor Skills Akrour, R., Sorokin, D., Peters, J., Neumann, G. Proceedings of the 34th International Conference on Machine Learning (ICML), 70:41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, August 2017 (Published) URL BibTeX

Autonomous Motion Conference Paper Learning Feedback Terms for Reactive Planning and Control Rai, A., Sutanto, G., Schaal, S., Meier, F. Proceedings 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (Published) pdf video BibTeX

Autonomous Motion Intelligent Control Systems Conference Paper Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers Doerr, A., Nguyen-Tuong, D., Marco, A., Schaal, S., Trimpe, S. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), :5295-5301, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (Published) PDF arXiv DOI BibTeX

Autonomous Motion Probabilistic Numerics Intelligent Control Systems Conference Paper Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization Marco, A., Berkenkamp, F., Hennig, P., Schoellig, A. P., Krause, A., Schaal, S., Trimpe, S. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), :1557-1563, IEEE, Piscataway, NJ, USA, May 2017 (Published) PDF arXiv ICRA 2017 Spotlight presentation Virtual vs. Real - Video explanation DOI BibTeX

Autonomous Motion Article Probabilistic Articulated Real-Time Tracking for Robot Manipulation Garcia Cifuentes, C., Issac, J., Wüthrich, M., Schaal, S., Bohg, J. IEEE Robotics and Automation Letters (RA-L), 2(2):577-584, April 2017 (Published) arXiv video code and dataset video PDF DOI BibTeX

Empirical Inference Autonomous Motion Article Anticipatory Action Selection for Human-Robot Table Tennis Wang, Z., Boularias, A., Mülling, K., Schölkopf, B., Peters, J. Artificial Intelligence, 247:399-414, 2017, Special Issue on AI and Robotics (Published) DOI BibTeX

Empirical Inference Autonomous Motion Book Chapter Robot Learning Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S. In Springer Handbook of Robotics, :357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (Published) BibTeX