| 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 | 179 | 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 | 126 | 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 | 109 | 2014 |
| 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 | 87 | 2017 |
| 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 | 76 | 2015 |
| 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 | 73 | 2014 |
| 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 | 66 | 2017 |
| 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 | 50 | 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 | 47 | 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 | 41 | 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 | 41 | 2015 |
| 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 | 33 | 2016 |
| Probabilistic prioritization of movement primitives A Paraschos, R Lioutikov, J Peters, G Neumann IEEE Robotics and Automation Letters 2 (4), 2294-2301, 2017 | 28 | 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 | 22 | 2021 |
| Anticipative interaction primitives for human-robot collaboration G Maeda, A Maloo, M Ewerton, R Lioutikov, J Peters 2016 AAAI Fall Symposium Series, 2016 | 16 | 2016 |
| A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation G Maeda, G Neumann, M Ewerton, R Lioutikov, J Peters Robotics Research: Volume 2, 253-268, 2018 | 14 | 2018 |
| Learning attribute grammars for movement primitive sequencing R Lioutikov, G Maeda, F Veiga, K Kersting, J Peters The International Journal of Robotics Research 39 (1), 21-38, 2020 | 13 | 2020 |
| Distributional depth-based estimation of object articulation models A Jain, S Giguere, R Lioutikov, S Niekum Conference on Robot Learning, 1611-1621, 2022 | 12 | 2022 |
| Inducing probabilistic context-free grammars for the sequencing of movement primitives R Lioutikov, G Maeda, F Veiga, K Kersting, J Peters 2018 IEEE International Conference on Robotics and Automation (ICRA), 5651-5658, 2018 | 9 | 2018 |
| Low-cost sensor glove with force feedback for learning from demonstrations using probabilistic trajectory representations E Rueckert, R Lioutikov, R Calandra, M Schmidt, P Beckerle, J Peters arXiv preprint arXiv:1510.03253, 2015 | 9 | 2015 |
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtBestätigte E-Mail-Adresse bei ias.tu-darmstadt.de
