| Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in Neural Information Processing Systems 34, 251-266, 2021 | 136 | 2021 |
| Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 101 | 2020 |
| Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv preprint arXiv:1910.01727, 2019 | 100 | 2019 |
| 3D shape context and distance transform for action recognition M Grundmann, F Meier, I Essa 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 97 | 2008 |
| Movement segmentation using a primitive library F Meier, E Theodorou, F Stulp, S Schaal 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 93 | 2011 |
| Se3-pose-nets: Structured deep dynamics models for visuomotor control A Byravan, F Leeb, F Meier, D Fox 2018 IEEE International Conference on Robotics and Automation (ICRA), 3339-3346, 2018 | 83* | 2018 |
| From dynamic movement primitives to associative skill memories P Pastor, M Kalakrishnan, F Meier, F Stulp, J Buchli, E Theodorou, ... Robotics and Autonomous Systems 61 (4), 351-361, 2013 | 82 | 2013 |
| Real-time perception meets reactive motion generation D Kappler, F Meier, J Issac, J Mainprice, CG Cifuentes, M Wüthrich, ... IEEE Robotics and Automation Letters 3 (3), 1864-1871, 2018 | 76 | 2018 |
| Meta learning via learned loss S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ... 2020 25th International Conference on Pattern Recognition (ICPR), 4161-4168, 2021 | 68* | 2021 |
| On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward HS Choi, C Crump, C Duriez, A Elmquist, G Hager, D Han, F Hearl, ... Proceedings of the National Academy of Sciences 118 (1), e1907856118, 2021 | 64 | 2021 |
| Incremental local gaussian regression F Meier, P Hennig, S Schaal Advances in Neural Information Processing Systems 27, 2014 | 63 | 2014 |
| Learning coupling terms for obstacle avoidance A Rai, F Meier, A Ijspeert, S Schaal 2014 IEEE-RAS international conference on humanoid robots, 512-518, 2014 | 43 | 2014 |
| Learning feedback terms for reactive planning and control A Rai, G Sutanto, S Schaal, F Meier 2017 IEEE International Conference on Robotics and Automation (ICRA), 2184-2191, 2017 | 40 | 2017 |
| Drifting gaussian processes with varying neighborhood sizes for online model learning F Meier, S Schaal 2016 IEEE International Conference on Robotics and Automation (ICRA), 264-269, 2016 | 39 | 2016 |
| Movement segmentation and recognition for imitation learning F Meier, E Theodorou, S Schaal Artificial Intelligence and Statistics, 761-769, 2012 | 39 | 2012 |
| Encoding physical constraints in differentiable newton-euler algorithm G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier Learning for Dynamics and Control, 804-813, 2020 | 38 | 2020 |
| Towards robust online inverse dynamics learning F Meier, D Kappler, N Ratliff, S Schaal 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 37 | 2016 |
| Curious ilqr: Resolving uncertainty in model-based rl S Bechtle, Y Lin, A Rai, L Righetti, F Meier Conference on Robot Learning, 162-171, 2020 | 34 | 2020 |
| ProSAS: a database for analyzing alternative splicing in the context of protein structures F Birzele, R Küffner, F Meier, F Oefinger, C Potthast, R Zimmer Nucleic acids research 36 (suppl_1), D63-D68, 2007 | 34 | 2007 |
| Model-based inverse reinforcement learning from visual demonstrations N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier Conference on Robot Learning, 1930-1942, 2021 | 32 | 2021 |
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
