| Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems E Rückert, A d'Avella Frontiers in computational neuroscience 7, 138, 2013 | 88 | 2013 |
| Recurrent spiking networks solve planning tasks E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters Scientific reports 6, 21142, 2016 | 85 | 2016 |
| Learning inverse dynamics models in o (n) time with lstm networks E Rueckert, M Nakatenus, S Tosatto, J Peters 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 84 | 2017 |
| A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction P Weber, E Rueckert, R Calandra, J Peters, P Beckerle 2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016 | 67 | 2016 |
| Learning inverse dynamics models with contacts R Calandra, S Ivaldi, MP Deisenroth, E Rueckert, J Peters 2015 IEEE International Conference on Robotics and Automation (ICRA), 3186-3191, 2015 | 66 | 2015 |
| Learned Graphical Models for Probabilistic Planning Provide a New Class of Movement Primitives E Rückert, G Neumann, M Toussaint, W Maass Frontiers in Computational Neuroscience 6 (97), 2012 | 60 | 2012 |
| Extracting Low-Dimensional Control Variables for Movement Primitives E Rueckert, J Mundo, A Paraschos, J Peters, G Neumann Proc. IEEE Int. Conf. on Robotics and Automation (ICRA), 2015 | 48 | 2015 |
| Learning soft task priorities for control of redundant robots V Modugno, G Neumann, E Rueckert, G Oriolo, J Peters, S Ivaldi 2016 IEEE International Conference on Robotics and Automation (ICRA), 221-226, 2016 | 43 | 2016 |
| Skid raw: Skill discovery from raw trajectories D Tanneberg, K Ploeger, E Rueckert, J Peters IEEE robotics and automation letters 6 (3), 4696-4703, 2021 | 34 | 2021 |
| Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks D Tanneberg, J Peters, E Rueckert Neural networks 109, 67-80, 2019 | 31 | 2019 |
| Stochastic optimal control methods for investigating the power of morphological computation EA Rückert, G Neumann Artificial Life 19 (1), 115-131, 2013 | 30 | 2013 |
| Probabilistic movement primitives under unknown system dynamics A Paraschos, E Rueckert, J Peters, G Neumann Advanced Robotics 32 (6), 297-310, 2018 | 25 | 2018 |
| Model-free probabilistic movement primitives for physical interaction A Paraschos, E Rueckert, J Peters, G Neumann 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 25 | 2015 |
| Using deep reinforcement learning with automatic curriculum learning for mapless navigation in intralogistics H Xue, B Hein, M Bakr, G Schildbach, B Abel, E Rueckert Applied Sciences 12 (6), 3153, 2022 | 23 | 2022 |
| Probabilistic movement models show that postural control precedes and predicts volitional motor control E Rueckert, J Čamernik, J Peters, J Babič Scientific reports 6 (1), 28455, 2016 | 22 | 2016 |
| Simultaneous localisation and mapping for mobile robots with recent sensor technologies EA Rückert na, 2009 | 21 | 2009 |
| Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller M Jamšek, T Kunavar, U Bobek, E Rueckert, J Babič IEEE robotics and automation letters 6 (3), 4417-4424, 2021 | 19 | 2021 |
| Ros-mobile: An android application for the robot operating system N Rottmann, N Studt, F Ernst, E Rueckert arXiv preprint arXiv:2011.02781, 2020 | 19 | 2020 |
| Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling A Šošić, E Rueckert, J Peters, AM Zoubir, H Koeppl Journal of Machine Learning Research 19 (69), 1-45, 2018 | 18 | 2018 |
| Multimodal visual-tactile representation learning through self-supervised contrastive pre-training V Dave, F Lygerakis, E Rueckert 2024 IEEE International Conference on Robotics and Automation (ICRA), 8013-8020, 2024 | 17 | 2024 |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
