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 SigaudProfessor in Computer Science, Sorbonne UniversitéVerified email at upmc.fr
Jonas BuchliDeepMindVerified email at google.com
Bernd RadigTechnical University of MunichVerified email at in.tum.de
Daniel LeidnerGerman Aerospace Center (DLR)Verified email at dlr.de
Alin Albu-SchäfferDLR-German Aerospace Center, Institute of Robotics and Mechatronics; TU Munich, Dept. of InformaticsVerified email at dlr.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
Antonin RaffinDLRVerified email at dlr.de
Korbinian NottensteinerGerman Aerospace Center (DLR), Institute of Robotics and MechatronicsVerified email at dlr.de
Serena IvaldiResearch scientist, INRIAVerified email at inria.fr
Gabriel QuereGerman Aerospace Center (DLR)Verified email at dlr.de
Peter PastorRoboticist, GoogleVerified email at google.com
Franz SteinmetzBosch RexrothVerified email at dlr.de
Samuel BustamanteCognitive Robotics department, Robotics and Mechatronics Center, German Aerospace Center (DLR)Verified email at dlr.de
Ismael Valentín Rodríguez BrenaDLR/TUMVerified email at dlr.de
Jörn VogelGerman Aerospace Center (DLR)Verified email at dlr.de
Moritz TenorthCTO, Magazino GmbHVerified email at tenorth.de

Freek Stulp

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

Verified email at dlr.de

Robotics Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning variable impedance control J Buchli, F Stulp, E Theodorou, S Schaal The International Journal of Robotics Research 30 (7), 820-833, 2011	376	2011
Path integral policy improvement with covariance matrix adaptation F Stulp, O Sigaud arXiv preprint arXiv:1206.4621, 2012	245	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	218	2012
Many regression algorithms, one unified model: A review F Stulp, O Sigaud Neural Networks 69, 60-79, 2015	207	2015
Robot skill learning: From reinforcement learning to evolution strategies F Stulp, O Sigaud Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013	160	2013
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	159	2019
Learning to grasp under uncertainty F Stulp, E Theodorou, J Buchli, S Schaal 2011 IEEE International Conference on Robotics and Automation, 5703-5708, 2011	113	2011
Hierarchical reinforcement learning with movement primitives F Stulp, S Schaal 2011 11th IEEE-RAS International Conference on Humanoid Robots, 231-238, 2011	104	2011
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	97	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	95	2013
Variable impedance control a reinforcement learning approach J Buchli, E Theodorou, F Stulp, S Schaal Robotics: Science and Systems VI 153, 2011	92	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	92	2008
Policy improvement methods: Between black-box optimization and episodic reinforcement learning F Stulp, O Sigaud	90	2012
Policy search in continuous action domains: an overview O Sigaud, F Stulp Neural Networks 113, 28-40, 2019	89	2019
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	88	2013
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	78	2010
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	68	2008
Model-free reinforcement learning of impedance control in stochastic environments F Stulp, J Buchli, A Ellmer, M Mistry, EA Theodorou, S Schaal IEEE Transactions on Autonomous Mental Development 4 (4), 330-341, 2012	64	2012
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	58	2010
Investigating generalisation in continuous deep reinforcement learning C Zhao, O Sigaud, F Stulp, TM Hospedales arXiv preprint arXiv:1902.07015, 2019	55	2019

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