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
Haptic Intelligence
Autonomous Learning
Empirical Inference
Miscellaneous
A Sequential Group VAE for Robot Learning of Haptic Representations
Richardson, B. A., Kuchenbecker, K. J., Martius, G.
:1-11, Workshop paper (8 pages) presented at the CoRL Workshop on Aligning Robot Representations with Humans, Auckland, New Zealand, December 2022 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Sancaktar, C., Blaes, S., Martius, G.
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :24170-24183 , Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), December 2022 (Published)
Arxiv
Videos
Openreview
URL
BibTeX
Empirical Inference
Autonomous Learning
Robust Machine Learning
Conference Paper
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Reizinger*, P., Gresele*, L., Brady*, J., von Kügelgen, J., Zietlow, D., Schölkopf, B., Martius, G., Brendel, W., Besserve, M.
Advances in Neural Information Processing Systems (NeurIPS 2022), 35:12040-12057, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems, December 2022, *equal first authorship (Published)
Arxiv
PDF
URL
BibTeX
Autonomous Learning
Conference Paper
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
Li, C., Vlastelica, M., Blaes, S., Frey, J., Grimminger, F., Martius, G.
Proceedings of the 6th Conference on Robot Learning (CoRL), Conference on Robot Learning (CoRL), December 2022, Accepted (Accepted)
Arxiv
Videos
Project
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Wochner, I., Schumacher, P., Martius, G., Büchler, D., Schmitt, S., Haeufle, D.
Proceedings of the 6th Conference on Robot Learning (CoRL), 205:1178-1188, Proceedings of Machine Learning Research, (Editors: Liu, Karen and Kulic, Dana and Ichnowski, Jeff), PMLR, December 2022 (Published)
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Gürtler, N., Widmaier, F., Sancaktar, C., Blaes, S., Kolev, P., Bauer, S., Wüthrich, M., Wulfmeier, M., Riedmiller, M., Allshire, A., et al.
Proceedings of the NeurIPS 2022 Competitions Track, 220:133-150, Proceedings of Machine Learning Research, (Editors: Ciccone, Marco and Stolovitzky, Gustavo and Albrecht, Jacob), PMLR, December 2022 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Risk-Averse Zero-Order Trajectory Optimization
Vlastelica*, M., Blaes*, S., Pinneri, C., Martius, G.
In Conference on Robot Learning, 164, PMLR, 5th Conference on Robot Learning (CoRL 2021) , 2022, *Equal Contribution (Published)
OpenReview
PDF
URL
BibTeX
Autonomous Learning
Conference Paper
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Zadaianchuk, A., Martius, G., Yang, F.
In Proceedings of the 5th Conference on Robot Learning (CoRL 2021) , 164:384-394, PMLR, 5th Conference on Robot Learning (CoRL 2021) , 2022 (Published)
Arxiv
Openreview
Poster
URL
BibTeX
Haptic Intelligence
Autonomous Learning
Empirical Inference
Miscellaneous
A Soft Vision-Based Tactile Sensor for Robotic Fingertip Manipulation
Andrussow, I., Sun, H., Kuchenbecker, K. J., Martius, G.
Workshop paper (1 page) presented at the IROS Workshop on Large-Scale Robotic Skin: Perception, Interaction and Control, Kyoto, Japan, October 2022 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Developing hierarchical anticipations via neural network-based event segmentation
Gumbsch, C., Adam, M., Elsner, B., Martius, G., Butz, M. V.
In Proceedings of the IEEE International Conference on Development and Learning (ICDL 2022), :1-8, 2022 IEEE International Conference on Development and Learning (ICDL), September 2022 ()
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BibTeX
Perceiving Systems
Autonomous Learning
Conference Paper
InvGAN: Invertible GANs
Ghosh, P., Zietlow, D., Black, M. J., Davis, L. S., Hu, X.
In Pattern Recognition, :3-19, Lecture Notes in Computer Science, 13485, (Editors: Andres, Björn and Bernard, Florian and Cremers, Daniel and Frintrop, Simone and Goldlücke, Bastian and Ihrke, Ivo), Springer, Cham, 44th DAGM German Conference on Pattern Recognition (DAGM GCPR 2022), September 2022 (Published)
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DOI
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Schölkopf, B., Russell, C.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), :10410-10421, June 2022 (Published)
arXiv
URL
BibTeX
Autonomous Learning
Conference Paper
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Seitzer, M., Tavakoli, A., Antic, D., Martius, G.
International Conference on Learning Representations (ICLR 2022), Tenth International Conference on Learning Representations (ICLR 2022) , April 2022 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Orchestrated Value Mapping for Reinforcement Learning
Fatemi, M., Tavakoli, A.
International Conference on Learning Representations, April 2022 ()
URL
BibTeX
Autonomous Learning
Article
Guiding the Design of Superresolution Tactile Skins with Taxel Value Isolines Theory
Sun, H., Martius, G.
Science Robotics, 7(63):eabm0608, February 2022 (Published)
Authors copy
DOI
URL
BibTeX
Autonomous Learning
Haptic Intelligence
Article
A Soft Thumb-Sized Vision-Based Sensor with Accurate All-Round Force Perception
Sun, H., Kuchenbecker, K. J., Martius, G.
Nature Machine Intelligence, 4(2):135-145, February 2022 (Published)
Paper
DOI
URL
BibTeX
Autonomous Learning
Article
Inference of affordances and active motor control in simulated agents
Scholz, F., Gumbsch, C., Otte, S., Butz, M. V.
Frontiers in Neurobiotics, 16, 2022 (Published)
DOI
BibTeX
Autonomous Learning
Article
Inferring Markovian quantum master equations of few-body observables in interacting spin chains
Carnazza, F., Carollo, F., Zietlow, D., Andergassen, S., Martius, G., Lesanovsky, I.
New Journal of Physics, 24, IOP Publishing, 2022 (Published)
DOI
BibTeX
Autonomous Learning
Article
Intelligent problem-solving as integrated hierarchical reinforcement learning
Eppe, M., Gumbsch, C., Kerzel, M., Nguyen, P. D. H., Butz, M. V., Wermter, S.
Nature Machine Intelligence, 4(1):11-20, 2022 (Published)
DOI
URL
BibTeX
Autonomous Learning
Ph.D. Thesis
Machine-Learning-Driven Haptic Sensor Design
Sun, H.
University of Tuebingen, Library, 2022 ()
URL
BibTeX
Autonomous Learning
Conference Paper
Uncertainty in Equation Learning
Werner, M., Junginger, A., Hennig, P., Martius, G.
In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), :2298-2305, ACM, Genetic and Evolutionary Computation Conference (GECCO 2022) , 2022 (Published)
Paper PDF
DOI
URL
BibTeX
Autonomous Learning
Article
When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents
Khajehabdollahi, S., Prosi, J., Giannakakis, E., Martius, G., Levina, A.
Artificial Life, 28(4):458-478, 2022 (Published)
DOI
BibTeX
Autonomous Learning
Conference Paper
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Sancaktar, C., Blaes, S., Martius, G.
In Advances in Neural Information Processing Systems (NeurIPS), October 2022 (Published)
URL
BibTeX