| Learning to select and generalize striking movements in robot table tennis K Mülling, J Kober, O Kroemer, J Peters The International Journal of Robotics Research 32 (3), 263-279, 2013 | 548 | 2013 |
| A review of robot learning for manipulation: Challenges, representations, and algorithms O Kroemer, S Niekum, G Konidaris Journal of machine learning research 22 (30), 1-82, 2021 | 353 | 2021 |
| Hierarchical relative entropy policy search C Daniel, G Neumann, J Peters Artificial Intelligence and Statistics, 273-281, 2012 | 281* | 2012 |
| Interaction primitives for human-robot cooperation tasks HB Amor, G Neumann, S Kamthe, O Kroemer, J Peters 2014 IEEE international conference on robotics and automation (ICRA), 2831-2837, 2014 | 253 | 2014 |
| Learning grasp affordance densities R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater Paladyn. Journal of Behavioral Robotics 2 (1), 1-17, 2011 | 218 | 2011 |
| Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks GJ Maeda, G Neumann, M Ewerton, R Lioutikov, O Kroemer, J Peters Autonomous Robots 41, 593-612, 2017 | 217 | 2017 |
| A review of tactile information: Perception and action through touch Q Li, O Kroemer, Z Su, FF Veiga, M Kaboli, HJ Ritter IEEE Transactions on Robotics 36 (6), 1619-1634, 2020 | 203 | 2020 |
| Movement templates for learning of hitting and batting J Kober, K Muelling, O Kroemer, CH Lampert, B Schoelkopf, J Peters IEEE International Conference on Robotics and Automation (ICRA), 69-82, 2010 | 202* | 2010 |
| Combining active learning and reactive control for robot grasping OB Kroemer, R Detry, J Piater, J Peters Robotics and Autonomous Systems (RAS) 58 (9), 1105-1116, 2010 | 197 | 2010 |
| Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks O Kroemer, C Daniel, G Neumann, H van Hoof, J Peters International Conference on Robotics and Automation (ICRA), 2015 | 145 | 2015 |
| Active Reward Learning. C Daniel, M Viering, J Metz, O Kroemer, J Peters Robotics: Science and systems 98, 2014 | 142 | 2014 |
| Learning dynamic tactile sensing with robust vision-based training O Kroemer, CH Lampert, J Peters IEEE transactions on robotics 27 (3), 545-557, 2011 | 125 | 2011 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 123 | 2023 |
| Generalization of human grasping for multi-fingered robot hands HB Amor, O Kroemer, U Hillenbrand, G Neumann, J Peters 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 119 | 2012 |
| Soft magnetic skin for continuous deformation sensing T Hellebrekers, O Kroemer, C Majidi Advanced Intelligent Systems 1 (4), 1900025, 2019 | 106 | 2019 |
| Camera-to-robot pose estimation from a single image TE Lee, J Tremblay, T To, J Cheng, T Mosier, O Kroemer, D Fox, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 9426-9432, 2020 | 94 | 2020 |
| A kernel-based approach to direct action perception O Kroemer, E Ugur, E Oztop, J Peters 2012 IEEE international Conference on Robotics and Automation, 2605-2610, 2012 | 94 | 2012 |
| Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning CH Lampert, O Krömer Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 85 | 2010 |
| Learning robot tactile sensing for object manipulation Y Chebotar, O Kroemer, J Peters 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 83 | 2014 |
| Probabilistic segmentation and targeted exploration of objects in cluttered environments H Van Hoof, O Kroemer, J Peters IEEE Transactions on Robotics 30 (5), 1198-1209, 2014 | 78 | 2014 |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI在 ias.tu-darmstadt.de 的电子邮件经过验证
