Freek Stulp

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Michael BeetzIntitute for Artificial Intelligence, Computer Science Department, University of BremenVerifierad e-postadress på cs.uni-bremen.de
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerifierad e-postadress på google.com
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEASVerifierad e-postadress på ae.gatech.edu
Olivier SigaudProfessor in Computer Science, Sorbonne UniversitéVerifierad e-postadress på upmc.fr
Jonas BuchliDeepMindVerifierad e-postadress på google.com
Alin Albu-SchäfferDLR-German Aerospace Center, Institute of Robotics and Mechatronics; TU Munich, Dept. of InformaticsVerifierad e-postadress på dlr.de
Daniel LeidnerGerman Aerospace Center (DLR)Verifierad e-postadress på dlr.de
Bernd RadigTechnical University of MunichVerifierad e-postadress på in.tum.de
Antonin RaffinDLRVerifierad e-postadress på dlr.de
Gabriel QuereGerman Aerospace Center (DLR)Verifierad e-postadress på dlr.de
Gennaro RaiolaNASA Jet Propulsion Laboratory (JPL)Verifierad e-postadress på jpl.nasa.gov
Samuel BustamanteCognitive Robotics department, Robotics and Mechatronics Center, German Aerospace Center (DLR)Verifierad e-postadress på dlr.de
Alexis MaldonadoResearcher, Artificial Intelligence - Universitaet BremenVerifierad e-postadress på cs.uni-bremen.de
João SilvérioGerman Aerospace Center (DLR)Verifierad e-postadress på dlr.de
Jörn VogelGerman Aerospace Center (DLR)Verifierad e-postadress på dlr.de
Korbinian NottensteinerGerman Aerospace Center (DLR), Institute of Robotics and MechatronicsVerifierad e-postadress på dlr.de
Franz SteinmetzBosch RexrothVerifierad e-postadress på dlr.de
Bernhard WeberVerifierad e-postadress på dlr.de
Dr. rer. nat. Ismael Valentín Rodríguez...Agile RobotsVerifierad e-postadress på agile-robots.com
Serena IvaldiResearch director, INRIAVerifierad e-postadress på inria.fr

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Freek Stulp

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

Verifierad e-postadress på dlr.de

Robotics Artificial Intelligence Machine Learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Learning variable impedance control J Buchli, F Stulp, E Theodorou, S Schaal The International Journal of Robotics Research 30 (7), 820-833, 2011	423	2011
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	269*	2023
Many regression algorithms, one unified model: A review F Stulp, O Sigaud Neural Networks 69, 60-79, 2015	269	2015
Path integral policy improvement with covariance matrix adaptation F Stulp, O Sigaud arXiv preprint arXiv:1206.4621, 2012	265	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	254	2012
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	202	2019
Robot skill learning: From reinforcement learning to evolution strategies F Stulp, O Sigaud Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013	177	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	119	2011
Hierarchical reinforcement learning with movement primitives F Stulp, S Schaal 2011 11th IEEE-RAS International Conference on Humanoid Robots, 231-238, 2011	109	2011
Policy search in continuous action domains: an overview O Sigaud, F Stulp Neural Networks 113, 28-40, 2019	107	2019
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	107	2011
Policy improvement methods: Between black-box optimization and episodic reinforcement learning F Stulp, O Sigaud	105	2012
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	99	2013
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	98	2013
Variable impedance control a reinforcement learning approach J Buchli, E Theodorou, F Stulp, S Schaal Robotics: Science and Systems VI 153, 2011	98	2011
Open X-Embodiment: Robotic learning datasets and RT-X models OXE Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, ... arXiv preprint arXiv:2310.08864 1 (2), 2023	94*	2023
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	94	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	85	2010
Smooth Exploration for Robotic Reinforcement Learning A Raffin, J Kober, F Stulp 5th Annual Conference on Robot Learning, 2021	77	2021
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	73	2012

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