Freek Stulp

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Michael BeetzIntitute for Artificial Intelligence, Computer Science Department, University of BremenDirección de correo verificada de cs.uni-bremen.de
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceDirección de correo verificada de google.com
Evangelos TheodorouGeorgia Institute of TechnologyDirección de correo verificada de ae.gatech.edu
Olivier SigaudProfessor in Computer Science, Sorbonne UniversitéDirección de correo verificada de upmc.fr
Jonas BuchliDeepMindDirección de correo verificada de google.com
Alin Albu-SchäfferDLR-German Aerospace Center, Institute of Robotics and Mechatronics; TU Munich, Dept. of InformaticsDirección de correo verificada de dlr.de
Bernd RadigTechnical University of MunichDirección de correo verificada de in.tum.de
Daniel LeidnerGerman Aerospace Center (DLR)Dirección de correo verificada de dlr.de
Antonin RaffinDLRDirección de correo verificada de dlr.de
Gennaro RaiolaNASA Jet Propulsion Laboratory (JPL)Dirección de correo verificada de jpl.nasa.gov
Alexis MaldonadoResearcher, Artificial Intelligence - Universitaet BremenDirección de correo verificada de cs.uni-bremen.de
Gabriel QuereGerman Aerospace Center (DLR)Dirección de correo verificada de dlr.de
Korbinian NottensteinerGerman Aerospace Center (DLR), Institute of Robotics and MechatronicsDirección de correo verificada de dlr.de
Samuel BustamanteCognitive Robotics department, Robotics and Mechatronics Center, German Aerospace Center (DLR)Dirección de correo verificada de dlr.de
Franz SteinmetzBosch RexrothDirección de correo verificada de dlr.de
Serena IvaldiResearch director, INRIADirección de correo verificada de inria.fr
Peter PastorRoboticist, GoogleDirección de correo verificada de google.com
Jörn VogelGerman Aerospace Center (DLR)Dirección de correo verificada de dlr.de
Ismael Valentín Rodríguez BrenaAgile RobotsDirección de correo verificada de agile-robots.com
Bernhard WeberDirección de correo verificada de dlr.de

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Freek Stulp

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

Dirección de correo verificada de dlr.de

Robotics Artificial Intelligence Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning variable impedance control J Buchli, F Stulp, E Theodorou, S Schaal The International Journal of Robotics Research 30 (7), 820-833, 2011	400	2011
Path integral policy improvement with covariance matrix adaptation F Stulp, O Sigaud arXiv preprint arXiv:1206.4621, 2012	254	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	238	2012
Many regression algorithms, one unified model: A review F Stulp, O Sigaud Neural Networks 69, 60-79, 2015	234	2015
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	184	2019
Robot skill learning: From reinforcement learning to evolution strategies F Stulp, O Sigaud Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013	170	2013
Learning to grasp under uncertainty F Stulp, E Theodorou, J Buchli, S Schaal 2011 IEEE International Conference on Robotics and Automation, 5703-5708, 2011	115	2011
Hierarchical reinforcement learning with movement primitives F Stulp, S Schaal 2011 11th IEEE-RAS International Conference on Humanoid Robots, 231-238, 2011	106	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	102	2011
Policy search in continuous action domains: an overview O Sigaud, F Stulp Neural Networks 113, 28-40, 2019	100	2019
Policy improvement methods: Between black-box optimization and episodic reinforcement learning F Stulp, O Sigaud	98	2012
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	96	2013
Variable impedance control a reinforcement learning approach J Buchli, E Theodorou, F Stulp, S Schaal Robotics: Science and Systems VI 153, 2011	95	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	94	2013
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	93	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	82	2010
Open X-Embodiment: Robotic learning datasets and RT-X models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023	74	2023
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	69	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	68	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	61	2010

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