| Accelerating interactive human-like manipulation learning with gpu-based simulation and high-quality demonstrations M Mosbach, K Moraw, S Behnke 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids …, 2022 | 7 | 2022 |
| Efficient representations of object geometry for reinforcement learning of interactive grasping policies M Mosbach, S Behnke 2022 Sixth IEEE International Conference on Robotic Computing (IRC), 156-163, 2022 | 5 | 2022 |
| Transfer of hierarchical reinforcement learning structures for robotic manipulation tasks C Scheiderer, M Mosbach, AF Posada-Moreno, T Meisen 2020 International Conference on Computational Science and Computational …, 2020 | 5 | 2020 |
| Learning generalizable tool use with non-rigid grasp-pose registration M Mosbach, S Behnke 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 3 | 2023 |
| Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects M Mosbach, S Behnke arXiv preprint arXiv:2403.10187, 2024 | 2 | 2024 |
| SOLD: Reinforcement Learning with Slot Object-Centric Latent Dynamics M Mosbach, JN Ewertz, A Villar-Corrales, S Behnke arXiv preprint arXiv:2410.08822, 2024 | | 2024 |
| Fourier-based Video Prediction through Relational Object Motion M Mosbach, S Behnke arXiv preprint arXiv:2110.05881, 2021 | | 2021 |
