Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective AR Geist, S Trimpe GAMM‐Mitteilungen 44 (2), e202100009, 2021 | 24 | 2021 |
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes AR Geist, S Trimpe Proceedings of Machine Learning Research 120, 225--234, 2020 | 23 | 2020 |
Embedded spherical localization for micro underwater vehicles based on attenuation of electro-magnetic carrier signals DA Duecker, AR Geist, M Hengeler, E Kreuzer, MA Pick, V Rausch, ... Sensors 17 (5), 959, 2017 | 21 | 2017 |
Learning environmental field exploration with computationally constrained underwater robots: Gaussian processes meet stochastic optimal control DA Duecker, AR Geist, E Kreuzer, E Solowjow Sensors 19 (9), 2094, 2019 | 18 | 2019 |
Towards a hyperbolic acoustic one-way localization system for underwater swarm robotics AR Geist, A Hackbarth, E Kreuzer, V Rausch, M Sankur, E Solowjow 2016 IEEE International Conference on Robotics and Automation (ICRA), 4551-4556, 2016 | 15 | 2016 |
Using physics knowledge for learning rigid-body forward dynamics with Gaussian process force priors L Rath, AR Geist, S Trimpe Conference on robot learning, 101-111, 2022 | 12 | 2022 |
The wheelbot: A jumping reaction wheel unicycle AR Geist, J Fiene, N Tashiro, Z Jia, S Trimpe IEEE Robotics and Automation Letters 7 (4), 9683-9690, 2022 | 9 | 2022 |
Data collection for robust end-to-end lateral vehicle control AR Geist, A Hansen, E Solowjow, S Yang, E Kreuzer Dynamic Systems and Control Conference 58271, V001T45A007, 2017 | 8 | 2017 |
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations S Mamedov, AR Geist, J Swevers, S Trimpe arXiv preprint arXiv:2307.07975, 2023 | 1* | 2023 |
Learning deformable linear object dynamics from a single trajectory S Mamedov, AR Geist, R Viljoen, S Trimpe, J Swevers arXiv preprint arXiv:2407.03476, 2024 | | 2024 |
Learning with 3D rotations, a hitchhiker's guide to SO(3) AR Geist, J Frey, M Zobro, A Levina, G Martius arXiv preprint arXiv:2404.11735, 2024 | | 2024 |
Physics-informed regression of implicitly-constrained robot dynamics AR Geist | | 2022 |
Supplementary Material-of-Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors L Rath, AR Geist, S Trimpe | | |