| Robot reinforcement learning on the constraint manifold P Liu, D Tateo, HB Ammar, J Peters Conference on Robot Learning, 1357-1366, 2022 | 56 | 2022 |
| Regularized deep signed distance fields for reactive motion generation P Liu, K Zhang, D Tateo, S Jauhri, J Peters, G Chalvatzaki 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 35 | 2022 |
| Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning J Urain, A Li, P Liu, C D'Eramo, J Peters Robotics: Science and Systems (RSS), 2021 | 30 | 2021 |
| Efficient and Reactive Planning for High Speed Robot Air Hockey P Liu, D Tateo, H Bou-Ammar, J Peters 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 26 | 2021 |
| Fast kinodynamic planning on the constraint manifold with deep neural networks P Kicki, P Liu, D Tateo, H Bou-Ammar, K Walas, P Skrzypczyński, J Peters IEEE Transactions on Robotics 40, 277-297, 2023 | 22 | 2023 |
| Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction P Liu, K Zhang, D Tateo, S Jauhri, Z Hu, J Peters, G Chalvatzaki 2023 IEEE International Conference on Robotics and Automation (ICRA), 9449-9456, 2023 | 19 | 2023 |
| Ros-llm: A ros framework for embodied ai with task feedback and structured reasoning CE Mower, Y Wan, H Yu, A Grosnit, J Gonzalez-Billandon, M Zimmer, ... arXiv preprint arXiv:2406.19741, 2024 | 9 | 2024 |
| Safe reinforcement learning on the constraint manifold: Theory and applications P Liu, H Bou-Ammar, J Peters, D Tateo arXiv preprint arXiv:2404.09080, 2024 | 7 | 2024 |
| Dimensionality reduction and prioritized exploration for policy search M Memmel, P Liu, D Tateo, J Peters International Conference on Artificial Intelligence and Statistics, 2134-2157, 2022 | 6 | 2022 |
| Bridging the gap between learning-to-plan, motion primitives and safe reinforcement learning P Kicki, D Tateo, P Liu, J Guenster, J Peters, K Walas arXiv preprint arXiv:2408.14063, 2024 | 2 | 2024 |
| Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning J Günster, P Liu, J Peters, D Tateo arXiv preprint arXiv:2409.12045, 2024 | 1 | 2024 |
| ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds S Gu, P Liu, A Kshirsagar, G Chen, J Peters, A Knoll IEEE Transactions on Automation Science and Engineering, 2024 | 1 | 2024 |
| Energy-based Contact Planning under Uncertainty for Robot Air Hockey J Jankowski, A Marić, P Liu, D Tateo, J Peters, S Calinon arXiv preprint arXiv:2407.03705, 2024 | 1 | 2024 |
| A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics P Liu, J Günster, N Funk, S Gröger, D Chen, H Bou Ammar, J Jankowski, ... Advances in Neural Information Processing Systems 37, 9690-9726, 2025 | | 2025 |
| Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators J Huang, D Tateo, P Liu, J Peters IEEE Robotics and Automation Letters, 2025 | | 2025 |
| ReDSDF: Regularized Deep Signed Distance Fields for Robotics P Liu, K Zhang, D Tateo, S Jauhri, J Peters, G Chalvatzaki | | 2022 |
| Maximum Total Correlation Reinforcement Learning B You, P Liu, H Liu, J Peters, O Arenz | | |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIכתובת אימייל מאומתת בדומיין ias.tu-darmstadt.de