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