Sethu Vijayakumar

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	All	Since 2015
Citations	8126	3943
h-index	41	29
i10-index	117	73

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Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Stefan KlankeVerified email at sklanke.de
Matthew HowardKing's College LondonVerified email at kcl.ac.uk
Vladimir IvanSenior Researcher at University of EdinburghVerified email at ed.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at informatik.uni-stuttgart.de
David BraunAssistant Professor, Vanderbilt UniversityVerified email at Vanderbilt.Edu
Jan PetersProfessor at Technische Universität Darmstadt and Researcher at MPI for Intelligent SystemsVerified email at ias.tu-darmstadt.de
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Wolfgang MerktPostdoctoral Research Assistant, Oxford Robotics InstituteVerified email at robots.ox.ac.uk
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Luigi AcerbiAssistant Professor of Machine and Human Intelligence, University of HelsinkiVerified email at helsinki.fi
Kianoush NazarpourReader in Biomedical AI, University of EdinburghVerified email at ed.ac.uk
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at sms.ed.ac.uk
Agamemnon KrasoulisDeeplabVerified email at deeplab.ai
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Graham McNeillOxford Internet Institute, University of OxfordVerified email at oii.ox.ac.uk
Jorg ConradtEECS, KTH Stockholm, SwedenVerified email at kth.se
Jo-Anne TingArundo Analytics, Inc.Verified email at arundo.com
Taku KomuraSchool of Informatics, The University of EdinburghVerified email at ed.ac.uk
Adrian HaithAssistant Professor, Johns Hopkins UniversityVerified email at jhu.edu

Sethu Vijayakumar

Professor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UK

Verified email at ed.ac.uk - Homepage

Robot Learning Optimal Control Machine Learning Motor Control Artificial Intelligence


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Natural actor-critic J Peters, S Vijayakumar, S Schaal Machine Learning: ECML 2005, 280-291, 2005	990	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	619	2005
Locally weighted projection regression: Incremental real time learning in high dimensional space S Vijayakumar, S Schaal Proceedings of the Seventeenth International Conference on Machine Learning …, 2000	477*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	429	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	334	2001
Using humanoid robots to study human behavior CG Atkeson, JG Hale, F Pollick, M Riley, S Kotosaka, S Schaal, T Shibata, ... Intelligent Systems and their Applications, IEEE 15 (4), 46-56, 2000	325	2000
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17 (1), 49-60, 2002	265	2002
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference K Rawlik, M Toussaint, S Vijayakumar 2012 Robotics: Science and Systems (R:SS) Conference, 2012	202	2012
The role of feed-forward and feedback processes for closed-loop prosthesis control I Saunders, S Vijayakumar Journal of neuroengineering and rehabilitation 8 (60), 60-72, 2011	169	2011
Hierarchical procrustes matching for shape retrieval G McNeill, S Vijayakumar 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	165	2006
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLoS Comput Biol 10 (6), e1003661, 2014	154	2014
Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing L Acerbi, DM Wolpert, S Vijayakumar PLOS Computational Biology 8 (11), e1002771, 2012	142	2012
Robots Driven by Compliant Actuators: Optimal Control Under Actuation Constraints DJ Braun, F Petit, F Huber, S Haddadin, P van der Smagt, A Albu-Schaffer, ... IEEE Transactions on Robotics (IEEE T-RO) 29 (5), 1085-1101, 2013	120	2013
Sequential support vector classifiers and regression S Vijayakumar, S Wu Proc. International Conference on Soft Computing (SOCO'99), Genoa, Italy, 1999	120	1999
Overt visual attention for a humanoid robot S Vijayakumar, J Conradt, T Shibata, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	119	2001
Statistical learning for humanoid robots S Vijayakumar, A D'souza, T Shibata, J Conradt, S Schaal Autonomous Robots 12 (1), 55-69, 2002	116	2002
Real-time robot learning with locally weighted statistical learning S Schaal, CG Atkeson, S Vijayakumar Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference …, 2000	114	2000
Optimal variable stiffness control: formulation and application to explosive movement tasks D Braun, M Howard, S Vijayakumar Autonomous Robots 33 (3), 237-253, 2012	111	2012
Multi-task gaussian process learning of robot inverse dynamics KM Chai, S Klanke, C Williams, S Vijayakumar Neural Information Processing Systems (NIPS 2008), 2008	104*	2008
Adaptive optimal feedback control with learned internal dynamics models D Mitrovic, S Klanke, S Vijayakumar From Motor Learning to Interaction Learning in Robots, 65-84, 2010	96	2010

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