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
Demonstration: Minsight - A Soft Vision-Based Tactile Sensor for Robotic Fingertips
Andrussow, I., Sun, H., Martius, G., Kuchenbecker, K. J.
Hands-on demonstration presented at the Conference on Robot Learning (CoRL), Munich, Germany, November 2024 (Published)
BibTeX
Autonomous Learning
Robotics
Conference Paper
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
Cheng, J., Vlastelica, M., Kolev, P., Li, C., Martius, G.
In Learning Diverse Skills for Local Navigation under Multi-constraint Optimality, :5083-5089, ICRA, October 2024 (Published)
Website
DOI
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware
Schumacher, P., Krause, L., Schneider, J., Büchler, D., Martius, G., Haeufle, D.
In Proceedings 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), :806-813, IEEE, 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), September 2024 (Published)
arXiv
DOI
URL
BibTeX
Autonomous Learning
Robotics
Article
Identifying Terrain Physical Parameters from Vision-Towards Physical-Parameter-Aware Locomotion and Navigation
Chen, J., Frey, J., Zhou, R., Miki, T., Martius, G., Hutter, M.
IEEE Robotics and Automation Letters, Identifying Terrain Physical Parameters From Vision, 9(11):9279-9286, August 2024 (Published)
DOI
URL
BibTeX
Autonomous Learning
Miscellaneous
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
Bagatella, M., Krause, A., Martius, G.
August 2024, In revision (In revision)
URL
BibTeX
Autonomous Learning
Conference Paper
Causal Action Influence Aware Counterfactual Data Augmentation
Urpi, N. A., Bagatella, M., Vlastelica, M., Martius, G.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:1709-1729, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Paulus, A., Martius, G., Musil, V.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:39989-40014, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Geist, A. R., Frey, J., Zhobro, M., Levina, A., Martius, G.
In Proceedings of Machine Learning Research, Proceedings of the Forty-First International Conference on Machine Learning , 235:15331-15350, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), Forty-First International Conference on Machine Learning , July 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Modelling Microbial Communities with Graph Neural Networks
Ruaud, A., Sancaktar, C., Bagatella, M., Ratzke, C., Martius, G.
In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:42742-42765, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
URL
BibTeX
Autonomous Learning
Article
PaSTS An Operational Dataset for Domestic Solar Thermal Systems
Ebmeier, F., Ludwig, N., Martius, G., Franz, V. H.
PaSTS An Operational Dataset for Domestic Solar Thermal Systems, June 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Conference Paper
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Khajehabdollahi, S., Zeraati, R., Giannakakis, E., Schäfer, T. J., Martius, G., Levina, A.
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 (Published)
URL
BibTeX
Autonomous Learning
Conference Paper
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Gumbsch, C., Sajid, N., Martius, G., Butz, M. V.
In The Twelfth International Conference on Learning Representations, ICLR 2024, May 2024 ()
URL
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Multi-View Causal Representation Learning with Partial Observability
Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., von Kügelgen, J., Locatello, F.
The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published)
arXiv
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
Spieler, A., Rahaman, N., Martius, G., Schölkopf, B., Levina, A.
In The Twelfth International Conference on Learning Representations (ICLR), May 2024 (Published)
arXiv
BibTeX
Autonomous Learning
Conference Paper
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision
Mattamala, M., Frey, J., Libera, P., Chebrolu, N., Martius, G., Cadena, C., Hutter, M., Fallon, M.
April 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Conference Paper
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements
Charaja, J. P., Wochner, I., Schumacher, P., Ilg, W., Giese, M., Maufroy, C., Bulling, A., Schmitt, S., Martius, G., Haeufle, D. F.
Proceedings 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), :562-568, IEEE, 2024 10TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE FOR BIOMEDICAL ROBOTICS\nAND BIOMECHATRONICS, BIOROB, February 2024 (Published)
DOI
URL
BibTeX
Autonomous Learning
Article
Machine learning of a density functional for anisotropic patchy particles
Simon, A., Weimar, J., Martius, G., Oettel, M.
Journal of Chemical Theory and Computation, 2024, Accepted (Accepted)
DOI
URL
BibTeX
Autonomous Learning
Conference Paper
Zero-Shot Object-Centric Representation Learning
Didolkar, A., Zadaianchuk, A., Goyal, A., Mozer, M., Bengio, Y., Martius, G., Seitzer, M.
In Zero-Shot Object-Centric Representation Learning, August 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Article
Sensing multi-directional forces at superresolution using taxel value isoline theory
Sun, H., Spiers, A., Lee, H., Fiene, J., Martius, G.
Sensing multi-directional forces at superresolution using taxel value isoline theory, August 2024, Accepted (Accepted)
URL
BibTeX
Autonomous Learning
Empirical Inference
Miscellaneous
Zero-Shot Offline Imitation Learning via Optimal Transport
Rupf, T., Bagatella, M., Gürtler, N., Frey, J., Martius, G.
October 2024, Submitted (Submitted)
URL
BibTeX
Autonomous Learning
Conference Paper
Active Fine-Tuning of Generalist Policies
Bagatella, M., Hübotter, J., Martius, G., Krause, A.
October 2024, Submitted (Submitted)
BibTeX
Autonomous Learning
Conference Paper
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Kolev, P., Vlastelica, M., Martius, G.
In Seventeenth European Workshop on Reinforcement Learning, August 2024, Accepted (Accepted)
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BibTeX
Autonomous Learning
Conference Paper
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Sancaktar, C., Gumbsch, C., Zadaianchuk, A., Kolev, P., Martius, G.
In The Training Agents with Foundation Models Workshop at RLC, 2024, indicates equal contribution (Published)
URL
BibTeX