Sethu Vijayakumar

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	All	Since 2016
Citations	8364	3631
h-index	41	28
i10-index	122	74

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Co-authors

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
Wolfgang MerktPostdoctoral Research Assistant, Oxford Robotics InstituteVerified email at robots.ox.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
Kianoush NazarpourReader in Biomedical AI, University of EdinburghVerified email at ed.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
Agamemnon KrasoulisDeeplabVerified email at deeplab.ai
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at roslin.ed.ac.uk
Graham McNeillOxford Internet Institute, University of OxfordVerified email at oii.ox.ac.uk
Jorg ConradtEECS, KTH Stockholm, SwedenVerified email at kth.se
Yiming YangUniversity of EdinburghVerified email at ed.ac.uk
Taku KomuraSchool of Informatics, The University of EdinburghVerified email at ed.ac.uk
Jo-Anne TingArundo Analytics, Inc.Verified email at arundo.com

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	1018	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	622	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	481*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	434	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	335	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	326	2000
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17 (1), 49-60, 2002	268	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	208	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	172	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	156	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	146	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	122	2013
Sequential support vector classifiers and regression S Vijayakumar, S Wu Proc. International Conference on Soft Computing (SOCO'99), Genoa, Italy, 1999	122	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	120	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	112	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	107*	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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