| SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion J Urain, N Funk, G Chalvatzaki, J Peters IEEE International Conference on Robotics and Automation (ICRA), 2023 | 144 | 2023 |
| Pick and place operations in logistics using a mobile manipulator controlled with deep reinforcement learning A Iriondo, E Lazkano, L Susperregi, J Urain, A Fernandez, J Molina Applied Sciences 9 (2), 348, 2019 | 87 | 2019 |
| Imitationflow: Learning deep stable stochastic dynamic systems by normalizing flows J Urain, M Ginesi, D Tateo, J Peters 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 57 | 2020 |
| Human intention detection as a multiclass classification problem: Application in physical human–robot interaction while walking J Lanini, H Razavi, J Urain, A Ijspeert IEEE Robotics and Automation Letters 3 (4), 4171-4178, 2018 | 45 | 2018 |
| Benchmarking structured policies and policy optimization for real-world dexterous object manipulation N Funk, C Schaff, R Madan, T Yoneda, JU De Jesus, J Watson, ... IEEE Robotics and Automation Letters 7 (1), 478-485, 2021 | 36 | 2021 |
| Composable energy policies for reactive motion generation and reinforcement learning J Urain, A Li, P Liu, C D’Eramo, J Peters The International Journal of Robotics Research, 02783649231179499, 2023 | 30 | 2023 |
| Learning implicit priors for motion optimization J Urain, AT Le, A Lambert, G Chalvatzaki, B Boots, J Peters 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 23 | 2022 |
| Learning stable vector fields on Lie groups J Urain, D Tateo, J Peters IEEE Robotics and Automation Letters 7 (4), 12569-12576, 2022 | 23 | 2022 |
| Hierarchical policy blending as inference for reactive robot control K Hansel, J Urain, J Peters, G Chalvatzaki 2023 IEEE International Conference on Robotics and Automation (ICRA), 10181 …, 2023 | 14 | 2023 |
| Deep generative models in robotics: A survey on learning from multimodal demonstrations J Urain, A Mandlekar, Y Du, M Shafiullah, D Xu, K Fragkiadaki, ... arXiv preprint arXiv:2408.04380, 2024 | 10 | 2024 |
| Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation J Carvalho, M Baeirl, J Urain, J Peters | 10 | 2022 |
| Real robot challenge: A robotics competition in the cloud S Bauer, M Wüthrich, F Widmaier, A Buchholz, S Stark, A Goyal, ... NeurIPS 2021 Competitions and Demonstrations Track, 190-204, 2022 | 9 | 2022 |
| A robot cluster for reproducible research in dexterous manipulation S Bauer, F Widmaier, M Wüthrich, N Funk, JUD Jesus, J Peters, J Watson, ... arXiv preprint arXiv:2109.10957, 2021 | 8 | 2021 |
| Generalized multiple correlation coefficient as a similarity measurement between trajectories J Urain, J Peters 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 6 | 2019 |
| Learning Stable Vector Fields on Lie Groups. IEEE Robotics and Automation Letters, 7 (4), 12569–12576 J Urain, D Tateo, J Peters | 5 | 2022 |
| Pianomime: Learning a generalist, dexterous piano player from internet demonstrations C Qian, J Urain, K Zakka, J Peters arXiv preprint arXiv:2407.18178, 2024 | 4 | 2024 |
| ACTIONFLOW: Efficient, Accurate, and Fast Policies with Spatially Symmetric Flow Matching N Funk, J Urain, J Carvalho, V Prasad, G Chalvatzaki, J Peters R: SS workshop: Structural Priors as Inductive Biases for Learning Robot …, 2024 | 1 | 2024 |
| A Hierarchical Approach to Active Pose Estimation J Hellwig, M Baierl, J Carvalho, J Urain, J Peters arXiv preprint arXiv:2203.03919, 2022 | 1 | 2022 |
| Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems J Urain, D Tateo, T Ren, J Peters arXiv preprint arXiv:2012.06224, 2020 | 1 | 2020 |
| Learning diffusion models in se (3) for 6dof grasp pose generation J Urain, N Funk, J Peters, G Chalvatzaki | 1 | |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de