Franziska Meier - Google Scholar Citations

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	All	Since 2015
Citations	542	388
h-index	13	12
i10-index	17	15

120

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Co-authors

Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Daniel KapplerRoboticist, XVerified email at x.team
Nathan RatliffResearch Scientist, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Evangelos TheodorouGeorgia Institute of TechnologyVerified email at ae.gatech.edu
Akshara RaiPhD student, CMUVerified email at andrew.cmu.edu
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at cs.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
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
Matthias GrundmannGoogle ResearchVerified email at google.com
Jim MainpriceResearch Group Leader, Stuttgart UniversityVerified email at ipvs.uni-stuttgart.de
Jonas BuchliDeepMindVerified email at google.com
Mrinal KalakrishnanRoboticist, XVerified email at x.team
Peter PastorRoboticist, GoogleVerified email at google.com
Giovanni SutantoPh.D. Candidate, University of Southern California and Max Planck Institute for Intelligent SystemsVerified email at usc.edu
Sebastian TrimpeMax Planck Research Group Leader, Max Planck Institute for Intelligent SystemsVerified email at is.mpg.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	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	66	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	59	2013
Incremental local gaussian regression F Meier, P Hennig, S Schaal Advances in Neural Information Processing Systems, 972-980, 2014	42	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	29*	2018
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	28	2007
Movement segmentation and recognition for imitation learning F Meier, E Theodorou, S Schaal Artificial Intelligence and Statistics, 761-769, 2012	26	2012
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	22	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	19	2016
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	18	2018
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	15*	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	14	2017
A probabilistic representation for dynamic movement primitives F Meier, S Schaal arXiv preprint arXiv:1612.05932, 2016	14	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	13	2014
Locally Weighted Regression for Control. JA Ting, S Vijayakumar, S Schaal Encyclopedia of Machine Learning 11, 613-624, 2010	13	2010
Doomed: Direct online optimization of modeling errors in dynamics N Ratliff, F Meier, D Kappler, S Schaal Big data 4 (4), 253-268, 2016	11	2016
Human action recognition using global point feature histograms and action shapes RB Rusu, J Bandouch, F Meier, I Essa, M Beetz Advanced Robotics 23 (14), 1873-1908, 2009	10	2009
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	8	2018
Local gaussian regression F Meier, P Hennig, S Schaal arXiv preprint arXiv:1402.0645, 2014	8	2014
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	6	2018

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