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


Empirical Inference Learning and Dynamical Systems IT Services Robotics Conference Paper A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions Guist, S., Schneider, J., Ma, H., Berenz, V., Martus, J., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, B. RoboLetics: Workshop on Robot Learning in Athletics @CoRL 2023, November 2023 (Published) URL BibTeX

Learning and Dynamical Systems Empirical Inference Conference Paper Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators Kladny, K., von Kügelgen, J., Schölkopf, B., Muehlebach, M. Conference on Uncertainty in Artificial Intelligence, 216:1087-1097, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX

Embodied Vision Learning and Dynamical Systems Empirical Inference Conference Paper Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts Achterhold, J., Tobuschat, P., Ma, H., Büchler, D., Muehlebach, M., Stueckler, J. In Conference on Learning for Dynamics and Control, 211:878-890, Proceedings of Machine Learning Research, (Editors: Nikolai Matni, Manfred Morari and George J. Pappa), PMLR, June 2023 (Published) preprint code URL BibTeX

Learning and Dynamical Systems Conference Paper A Dynamical Systems Perspective on Discrete Optimization Tong, G., Muehlebach, M. In Conference on Learning for Dynamics and Control, 211:1373-1386, PMLR, 2023 (Published) URL BibTeX

Learning and Dynamical Systems Conference Paper Data-Efficient Online Learning of Ball Placement in Robot Table Tennis Tobuschat, P., Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. EEE/RSJ International Conference on Intelligent Robots and Systems, 2023 (Published) URL BibTeX

Learning and Dynamical Systems Conference Paper Orthogonal Directions Constrained Gradient Method: from Non-Linear Equality Constraints to Stiefel Manifold Schechtman, S., Tiapkin, D., Muehlebach, M., Moulines, E. Conference on Learning Theory, 2023 (Published) URL BibTeX

Learning and Dynamical Systems Article Reinforcement learning with model-based feedforward inputs for robotic table tennis Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. Autonomous Robots, 47, 2023 (Published) URL BibTeX