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
Haptic Intelligence
Robotics
Patent
Method for Force Inference of a Sensor Arrangement, Methods for Training Networks, Force Inference Module and Sensor Arrangement
Sun, H., Martius, G., Lee, H., Spiers, A., Fiene, J.
(PCT/EP2020/083261), Max Planck Institute for Intelligent Systems, Max Planck Ring 4, November 2020 ()
BibTeX
Autonomous Learning
Haptic Intelligence
Robotics
Patent
Sensor Arrangement for Sensing Forces and Method for Farbricating a Sensor Arrangement
Spiers, A., Sun, H., Lee, H., Martius, G., Fiene, J., Seo, W. H.
(PCT/EP2020/083260), November 2020 ()
BibTeX
Autonomous Learning
Conference Paper
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Rolínek, M., Swoboda, P., Zietlow, D., Paulus, A., Musil, V., Martius, G.
In Computer Vision – ECCV 2020, 28:407-424, Lecture Notes in Computer Science, 12373, (Editors: Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael), Springer, Cham, 16th European Conference on Computer Vision (ECCV 2020) , August 2020 (Published)
Code
Arxiv
Long Spotlight
Short Spotlight
pdf
DOI
BibTeX
Empirical Inference
Autonomous Learning
Conference Paper
Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Hybrid Model Predictive Control
Zhu, J., Martius, G.
IFAC-PapersOnLine, 21rst IFAC World Congress, 53(2):5239-5245, Elsevier, Amsterdam, 21rst IFAC World Congress, July 2020 (Published)
arXiv
DOI
URL
BibTeX
Autonomous Learning
Conference Paper
Optimizing Rank-based Metrics with Blackbox Differentiation
Rolínek, M., Musil, V., Paulus, A., Vlastelica, M., Michaelis, C., Martius, G.
In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), :7617 - 7627, IEEE, Piscataway, NJ, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 2020, Best paper nomination (Published)
Paper @ CVPR2020
Long Oral
Short Oral
Arxiv
Code
Pdf
DOI
URL
BibTeX
Haptic Intelligence
Autonomous Learning
Conference Paper
Calibrating a Soft ERT-Based Tactile Sensor with a Multiphysics Model and Sim-to-real Transfer Learning
Lee, H., Park, H., Serhat, G., Sun, H., Kuchenbecker, K. J.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), :1632-1638, IEEE International Conference on Robotics and Automation (ICRA 2020), May 2020 (Published)
DOI
BibTeX
Autonomous Learning
Conference Paper
Differentiation of Blackbox Combinatorial Solvers
Vlastelica*, M., Paulus*, A., Musil, V., Martius, G., Rolínek, M.
In International Conference on Learning Representations, ICLR’20, May 2020, *Equal Contribution ()
Arxiv
Code
pdf
URL
BibTeX
Empirical Inference
Autonomous Learning
Autonomous Motion
Movement Generation and Control
Conference Paper
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models
Agudelo-España, D., Zadaianchuk, A., Wenk, P., Garg, A., Akpo, J., Grimminger, F., Viereck, J., Naveau, M., Righetti, L., Martius, G., et al.
IEEE International Conference on Robotics and Automation (ICRA), :8151-8157, IEEE, 2020 (Published)
Project Page
PDF
DOI
BibTeX
Autonomous Learning
Article
Analytical classical density functionals from an equation learning network
Lin, S., Martius, G., Oettel, M.
The Journal of Chemical Physics, 152(2):021102, 2020 (Published)
arXiv
Supplementary
Preprint_PDF
DOI
BibTeX
Autonomous Learning
Embodied Vision
Conference Paper
Sample-efficient Cross-Entropy Method for Real-time Planning
Pinneri, C., Sawant, S., Blaes, S., Achterhold, J., Stueckler, J., Rolinek, M., Martius, G.
In Conference on Robot Learning 2020, 2020 (Published)
Paper
Code
Spotlight-Video
URL
BibTeX