Freek Stulp

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Michael BeetzIntitute for Artificial Intelligence, Computer Science Department, University of BremenVerified email at cs.uni-bremen.de
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Evangelos TheodorouGeorgia Institute of TechnologyVerified email at ae.gatech.edu
Olivier Sigaudprofesseur d'informatique, Sorbonne UniversitéVerified email at upmc.fr
Jonas BuchliDeepMindVerified email at google.com
B. RadigTechnical University of MunichVerified email at in.tum.de
Gennaro RaiolaNASA Jet Propulsion Laboratory (JPL)Verified email at jpl.nasa.gov
Alexis MaldonadoResearcher, Artificial Intelligence - Universitaet BremenVerified email at cs.uni-bremen.de
Peter PastorRoboticist, GoogleVerified email at google.com
Daniel LeidnerGerman Aerospace Center (DLR)Verified email at dlr.de
Serena IvaldiResearch scientist, INRIAVerified email at inria.fr
Franziska MeierResearch Scientist, Facebook AI ResearchVerified email at fb.com
Ulrich KlankVerified email at in.tum.de
Alin Albu-SchäfferDLR-German Aerospace Center, Institute of Robotics and Mechatronics; TU Munich, Dept. of InformaticsVerified email at dlr.de
Mrinal KalakrishnanRoboticist, X, the Moonshot FactoryVerified email at x.team
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Moritz TenorthCTO, Magazino GmbHVerified email at tenorth.de
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr
Rineke VerbruggeProf. Logic and Cognition, Bernoulli Instite, Dept. Artificial Intelligence, University of GroningenVerified email at rug.nl
Jonathan GrizouUniversity Of GlasgowVerified email at glasgow.ac.uk

Freek Stulp

Head of Department of Cognitive Robotics, German Aerospace Center (DLR)

Verified email at freekstulp.net - Homepage

Robotics Artificial Intelligence Machine Learning


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Learning variable impedance control J Buchli, F Stulp, E Theodorou, S Schaal The International Journal of Robotics Research 30 (7), 820-833, 2011	271	2011
Path integral policy improvement with covariance matrix adaptation F Stulp, O Sigaud arXiv preprint arXiv:1206.4621, 2012	205	2012
Reinforcement learning with sequences of motion primitives for robust manipulation F Stulp, EA Theodorou, S Schaal IEEE Transactions on robotics 28 (6), 1360-1370, 2012	150	2012
Robot skill learning: From reinforcement learning to evolution strategies F Stulp, O Sigaud Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013	123	2013
Many regression algorithms, one unified model: A review F Stulp, O Sigaud Neural Networks 69, 60-79, 2015	114	2015
Learning to grasp under uncertainty F Stulp, E Theodorou, J Buchli, S Schaal 2011 IEEE International Conference on Robotics and Automation, 5703-5708, 2011	99	2011
The assistive kitchen—a demonstration scenario for cognitive technical systems M Beetz, F Stulp, B Radig, J Bandouch, N Blodow, M Dolha, A Fedrizzi, ... RO-MAN 2008-The 17th IEEE International Symposium on Robot and Human …, 2008	87	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	84	2011
Learning compact parameterized skills with a single regression F Stulp, G Raiola, A Hoarau, S Ivaldi, O Sigaud Humanoid Robots (Humanoids), 2013 13th IEEE-RAS International Conference on …, 2013	83	2013
Hierarchical reinforcement learning with movement primitives F Stulp, S Schaal 2011 11th IEEE-RAS International Conference on Humanoid Robots, 231-238, 2011	76	2011
Variable impedance control a reinforcement learning approach J Buchli, E Theodorou, F Stulp, S Schaal Robotics: Science and Systems VI, 153-160, 2011	75	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	69	2013
Policy improvement methods: Between black-box optimization and episodic reinforcement learning F Stulp, O Sigaud	68	2012
Learning local objective functions for robust face model fitting M Wimmer, F Stulp, S Pietzsch, B Radig IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1357-1370, 2008	66	2008
Generality and legibility in mobile manipulation M Beetz, F Stulp, P Esden-Tempski, A Fedrizzi, U Klank, I Kresse, ... Autonomous Robots 28 (1), 21-44, 2010	58	2010
Reinforcement learning of full-body humanoid motor skills F Stulp, J Buchli, E Theodorou, S Schaal 2010 10th IEEE-RAS International Conference on Humanoid Robots, 405-410, 2010	51	2010
A Knowledge–based Algorithm for the Internet Transmission Control Protocol (TCP) F Stulp, R Verbrugge Bulletin of Economic Research 54 (1), 69-94, 2002	48	2002
A survey on policy search algorithms for learning robot controllers in a handful of trials K Chatzilygeroudis, V Vassiliades, F Stulp, S Calinon, JB Mouret IEEE Transactions on Robotics 36 (2), 328-347, 2019	47	2019
Learning and reasoning with action-related places for robust mobile manipulation F Stulp, A Fedrizzi, L Mösenlechner, M Beetz Journal of Artificial Intelligence Research 43, 1-42, 2012	44	2012
Sharing belief in teams of heterogeneous robots H Utz, F Stulp, A Mühlenfeld Robot Soccer World Cup, 508-515, 2004	44	2004

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