Franziska Meier - Google Scholar

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	All	Since 2015
Citations	707	544
h-index	15	14
i10-index	22	20

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Co-authors

Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Daniel KapplerRoboticist, XVerified email at x.team
Akshara RaiResearch Scientist, Facebook AI ResearchVerified email at fb.com
Nathan RatliffResearch Scientist, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Evangelos TheodorouGeorgia Institute of TechnologyVerified email at ae.gatech.edu
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Jan IssacMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Freek StulpHead of Department of Cognitive Robotics, German Aerospace Center (DLR)Verified email at freekstulp.net
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Giovanni SutantoX Development LLC.Verified email at x.team
Irfan EssaDistinguished Professor of Computing, Georgia Tech / Research Scientist, GoogleVerified email at gatech.edu
Dieter FoxProfessor of Computer Science and Engineering, University of Washington, and Nvidia ResearchVerified email at cs.washington.edu
Jim MainpriceInterim Professor, Stuttgart UniversityVerified email at ipvs.uni-stuttgart.de
Matthias GrundmannGoogle ResearchVerified email at google.com
Jonas BuchliDeepMindVerified email at google.com
Mrinal KalakrishnanRoboticist, XVerified email at x.team
Peter PastorRoboticist, GoogleVerified email at google.com
Sebastian TrimpeProfessor, RWTH Aachen UniversityVerified email at dsme.rwth-aachen.de
Ralf ZimmerProfessor für Informatik, LMU MünchenVerified email at ifi.lmu.de
Auke IjspeertEPFL, Ecole Polytechnique Fédérale de Lausanne, SwitzerlandVerified email at epfl.ch

Franziska Meier

Research Scientist, Facebook AI Research

Verified email at fb.com - Homepage

Machine Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	86	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	79	2011
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	63	2013
Incremental local gaussian regression F Meier, P Hennig, S Schaal Advances in Neural Information Processing Systems, 972-980, 2014	53	2014
SE3-Pose-Nets: Structured deep dynamics models for visuomotor control A Byravan, F Lceb, F Meier, D Fox 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018	49*	2018
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	29	2018
Movement segmentation and recognition for imitation learning F Meier, E Theodorou, S Schaal Artificial Intelligence and Statistics, 761-769, 2012	29	2012
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	29	2007
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	27	2014
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	23	2016
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	21	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	19*	2016
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	17	2019
A probabilistic representation for dynamic movement primitives F Meier, S Schaal arXiv preprint arXiv:1612.05932, 2016	17	2016
Meta-learning via learned loss S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ... arXiv preprint arXiv:1906.05374, 2019	15*	2019
Doomed: Direct online optimization of modeling errors in dynamics N Ratliff, F Meier, D Kappler, S Schaal Big data 4 (4), 253-268, 2016	15	2016
Efficient Bayesian local model learning for control F Meier, P Hennig, S Schaal 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	14	2014
Locally Weighted Regression for Control. JA Ting, S Vijayakumar, S Schaal Encyclopedia of Machine Learning 11, 613-624, 2010	14	2010
Learning sensor feedback models from demonstrations via phase-modulated neural networks G Sutanto, Z Su, S Schaal, F Meier 2018 IEEE International Conference on Robotics and Automation (ICRA), 1142-1149, 2018	13	2018
Online learning of a memory for learning rates F Meier, D Kappler, S Schaal 2018 IEEE International Conference on Robotics and Automation (ICRA), 2425-2432, 2018	13	2018

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