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 Learning Conference Paper On Imitation in Mean-field Games Ramponi, G., Kolev, P., Olivier, P., He, N., Laurière, M., Geist, M. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-12, Curran Associates Inc., NeurIPS, December 2023 (Published) DOI URL BibTeX

Autonomous Learning Conference Paper Goal-conditioned Offline Planning from Curious Exploration Bagatella, M., Martius, G. In Advances in Neural Information Processing Systems 36, December 2023 (Published) URL BibTeX

Autonomous Learning Conference Paper Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities Zadaianchuk, A., Seitzer, M., Martius, G. In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Advances in Neural Information Processing Systems 36, December 2023 () arXiv Website OpenReview URL BibTeX

Autonomous Learning Conference Paper Online Learning under Adversarial Nonlinear Constraints Kolev, P., Martius, G., Muehlebach, M. In Advances in Neural Information Processing Systems 36, December 2023 () URL BibTeX

Autonomous Learning Conference Paper Regularity as Intrinsic Reward for Free Play Sancaktar, C., Piater, J., Martius, G. In Advances in Neural Information Processing Systems 37, December 2023 () Website Code URL BibTeX

Autonomous Learning Conference Paper Improving Behavioural Cloning with Positive Unlabeled Learning Wang, Q., McCarthy, R., Bulens, D. C., McGuinness, K., O’Connor, N. E., Sanchez, F. R., Gürtler, N., Widmaier, F., Redmond, S. J. 7th Annual Conference on Robot Learning (CoRL), November 2023, Accepted (Accepted) BibTeX

Haptic Intelligence Autonomous Learning Empirical Inference Article Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation Andrussow, I., Sun, H., Kuchenbecker, K. J., Martius, G. Advanced Intelligent Systems, 5(8):2300042, August 2023, Inside back cover (Published) DOI BibTeX

Autonomous Learning Article Offline Diversity Maximization under Imitation Constraints Marin, V., Jin, C., Martius, G., Kolev, P. Reinforcement Learning Journal, Offline Diversity Maximization under Imitation Constraints, 3:1377-1409, July 2023 (Published) Website DOI URL BibTeX

Autonomous Learning Conference Paper Backpropagation through Combinatorial Algorithms: Identity with Projection Works Sahoo, S., Paulus, A., Vlastelica, M., Musil, V., Kuleshov, V., Martius, G. In Proceedings of the Eleventh International Conference on Learning Representations, May 2023, Accepted (Accepted) OpenReview Arxiv Pdf URL BibTeX

Autonomous Learning Empirical Inference Conference Paper Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Gürtler, N., Blaes, S., Kolev, P., Widmaier, F., Wüthrich, M., Bauer, S., Schölkopf, B., Martius, G. In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Website arXiv Code URL BibTeX

Autonomous Learning Empirical Inference Conference Paper DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Schumacher, P., Haeufle, D. F., Büchler, D., Schmitt, S., Martius, G. In The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Arxiv pdf Website URL BibTeX

Autonomous Learning Empirical Inference Conference Paper Bridging the Gap to Real-World Object-Centric Learning Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Simon-Gabriel, C., He, T., Zhang, Z., Schölkopf, B., Brox, T., et al. In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Code Website URL BibTeX

Autonomous Learning Conference Paper Efficient Learning of High Level Plans from Play Armengol Urpi, N., Bagatella, M., Hilliges, O., Martius, G., Coros, S. In International Conference on Robotics and Automation, 2023, Accepted (Accepted) Arxiv Website Poster BibTeX

Autonomous Learning Conference Paper Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning Eberhard, O., Hollenstein, J., Pinneri, C., Martius, G. In Proceedings of the Eleventh International Conference on Learning Representations (ICLR), The Eleventh International Conference on Learning Representations (ICLR), May 2023 () URL BibTeX

Autonomous Learning Haptic Intelligence Empirical Inference Article Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks Lee, H., Sun, H., Park, H., Serhat, G., Javot, B., Martius, G., Kuchenbecker, K. J. IEEE Transactions on Automation Science and Engineering, 20(1):425-439, January 2023 (Published) DOI BibTeX

Autonomous Learning Article Discovering causal relations and equations from data Camps-Valls, G., Gerhardus, A., Ninad, U., Varando, G., Martius, G., Balaguer-Ballester, E., Vinuesa, R., Diaz, E., Zanna, L., Runge, J. Physics Reports, 1044:1-68, 2023 () DOI BibTeX

Autonomous Learning Article Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition Franca, F. D., Virgolin, M., Kommenda, M., Majumder, M., Cranmer, M., Espada, G., Ingelse, L., Fonseca, A., Landajuela, M., Petersen, B., et al. arXiv, 2023 () URL BibTeX

Autonomous Learning Conference Paper Regularity as Intrinsic Reward for Free Play Sancaktar, C., Piater, J., Martius, G. In Advances in Neural Information Processing Systems (NeurIPS, Advances in Neural Information Processing Systems 36, September 2023 (Published) URL BibTeX