Franziska Meier
Franziska Meier
Research Scientist, Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Where are we in the search for an artificial visual cortex for embodied intelligence?
A Majumdar, K Yadav, S Arnaud, J Ma, C Chen, S Silwal, A Jain, ...
Advances in Neural Information Processing Systems 36, 2024
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
Incremental local gaussian regression
F Meier, P Hennig, S Schaal
Advances in Neural Information Processing Systems 27, 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
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
Residual learning from demonstration: Adapting dmps for contact-rich manipulation
T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy
IEEE Robotics and Automation Letters 7 (2), 4488-4495, 2022
Learning generalizable locomotion skills with hierarchical reinforcement learning
T Li, N Lambert, R Calandra, F Meier, A Rai
2020 IEEE International Conference on Robotics and Automation (ICRA), 413-419, 2020
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
Using simulation to improve sample-efficiency of Bayesian optimization for bipedal robots
A Rai, R Antonova, F Meier, CG Atkeson
Journal of machine learning research 20 (49), 1-24, 2019
Movement segmentation and recognition for imitation learning
F Meier, E Theodorou, S Schaal
Artificial Intelligence and Statistics, 761-769, 2012
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