| 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 | 236 | 2017 |
| Learning multiple collaborative tasks with a mixture of interaction primitives M Ewerton, G Neumann, R Lioutikov, HB Amor, J Peters, G Maeda 2015 IEEE International Conference on Robotics and Automation (ICRA), 1535-1542, 2015 | 141 | 2015 |
| Learning interaction for collaborative tasks with probabilistic movement primitives G Maeda, M Ewerton, R Lioutikov, HB Amor, J Peters, G Neumann 2014 IEEE-RAS International Conference on Humanoid Robots, 527-534, 2014 | 121 | 2014 |
| Goal-Conditioned Imitation Learning using Score-based Diffusion Policies M Reuss, M Li, X Jia, R Lioutikov Robotics: Science and Systems, 2023 | 116 | 2023 |
| Model-based relative entropy stochastic search A Abdolmaleki, R Lioutikov, JR Peters, N Lau, L Pualo Reis, G Neumann Advances in Neural Information Processing Systems 28, 2015 | 101 | 2015 |
| Phase estimation for fast action recognition and trajectory generation in human–robot collaboration G Maeda, M Ewerton, G Neumann, R Lioutikov, J Peters The International Journal of Robotics Research 36 (13-14), 1579-1594, 2017 | 100 | 2017 |
| Screwnet: Category-independent articulation model estimation from depth images using screw theory A Jain, R Lioutikov, C Chuck, S Niekum 2021 IEEE International Conference on Robotics and Automation (ICRA), 13670 …, 2021 | 88 | 2021 |
| Learning movement primitive libraries through probabilistic segmentation R Lioutikov, G Neumann, G Maeda, J Peters The International Journal of Robotics Research 36 (8), 879-894, 2017 | 85 | 2017 |
| Sample-based informationl-theoretic stochastic optimal control R Lioutikov, A Paraschos, J Peters, G Neumann 2014 IEEE international conference on robotics and automation (ICRA), 3896-3902, 2014 | 78 | 2014 |
| Guiding trajectory optimization by demonstrated distributions T Osa, AMG Esfahani, R Stolkin, R Lioutikov, J Peters, G Neumann IEEE Robotics and Automation Letters 2 (2), 819-826, 2017 | 63 | 2017 |
| Self-supervised online reward shaping in sparse-reward environments F Memarian, W Goo, R Lioutikov, S Niekum, U Topcu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 58 | 2021 |
| Demonstration based trajectory optimization for generalizable robot motions D Koert, G Maeda, R Lioutikov, G Neumann, J Peters 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 56 | 2016 |
| Probabilistic segmentation applied to an assembly task R Lioutikov, G Neumann, G Maeda, J Peters 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 53 | 2015 |
| Prodmp: A unified perspective on dynamic and probabilistic movement primitives G Li, Z Jin, M Volpp, F Otto, R Lioutikov, G Neumann IEEE Robotics and Automation Letters 8 (4), 2325-2332, 2023 | 49 | 2023 |
| Learning manipulation by sequencing motor primitives with a two-armed robot R Lioutikov, O Kroemer, G Maeda, J Peters Intelligent Autonomous Systems 13: Proceedings of the 13th International …, 2016 | 43 | 2016 |
| Probabilistic prioritization of movement primitives A Paraschos, R Lioutikov, J Peters, G Neumann IEEE Robotics and Automation Letters 2 (4), 2294-2301, 2017 | 34 | 2017 |
| Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals M Reuss, ÖE Yağmurlu, F Wenzel, R Lioutikov First Workshop on Vision-Language Models for Navigation and Manipulation at …, 2024 | 26* | 2024 |
| Distributional depth-based estimation of object articulation models A Jain, S Giguere, R Lioutikov, S Niekum Conference on Robot Learning, 1611-1621, 2022 | 24 | 2022 |
| Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects PM Scheikl, N Schreiber, C Haas, N Freymuth, G Neumann, R Lioutikov, ... IEEE Robotics and Automation Letters, 2024 | 21 | 2024 |
| Towards diverse behaviors: A benchmark for imitation learning with human demonstrations X Jia, D Blessing, X Jiang, M Reuss, A Donat, R Lioutikov, G Neumann arXiv preprint arXiv:2402.14606, 2024 | 20 | 2024 |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
