Sethu Vijayakumar

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Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Vladimir IvanSenior Researcher at University of EdinburghVerified email at ed.ac.uk
Matthew HowardReader in Engineering, King's College LondonVerified email at kcl.ac.uk
Stefan KlankeVerified email at sklanke.de
Wolfgang MerktPostdoctoral Research Assistant, Oxford Robotics InstituteVerified email at robots.ox.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Kianoush NazarpourReader in Biomedical AI, University of EdinburghVerified email at ed.ac.uk
David BraunAssistant Professor, Vanderbilt UniversityVerified email at Vanderbilt.Edu
Agamemnon KrasoulisDeeplabVerified email at deeplab.ai
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at roslin.ed.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Luigi AcerbiAssistant Professor of Machine and Human Intelligence, University of HelsinkiVerified email at helsinki.fi
Graham McNeillCentre for Interdisciplinary Methodologies, University of WarwickVerified email at warwick.ac.uk
Taku KomuraSchool of Informatics, The University of EdinburghVerified email at ed.ac.uk
Yiming YangUniversity of EdinburghVerified email at ed.ac.uk
Jo-Anne TingDataSeerVerified email at dataseer.digital

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	1173	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	642	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	507*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	474	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	375	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	348	2000
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17 (1), 49-60, 2002	285	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	264	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	190	2011
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLoS Comput Biol 10 (6), e1003661, 2014	179	2014
Hierarchical procrustes matching for shape retrieval G McNeill, S Vijayakumar 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	179	2006
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	170	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	143	2013
Sequential support vector classifiers and regression S Vijayakumar, S Wu Proc. International Conference on Soft Computing (SOCO'99), Genoa, Italy, 1999	141	1999
Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements A Krasoulis, I Kyranou, MS Erden, K Nazarpour, S Vijayakumar Journal of neuroengineering and rehabilitation 14 (1), 1-14, 2017	133	2017
Real-time robot learning with locally weighted statistical learning S Schaal, CG Atkeson, S Vijayakumar Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference …, 2000	129	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	126	2012
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	121	2001
Multi-task gaussian process learning of robot inverse dynamics KM Chai, S Klanke, C Williams, S Vijayakumar Neural Information Processing Systems (NIPS 2008), 2008	118*	2008
Statistical learning for humanoid robots S Vijayakumar, A D'souza, T Shibata, J Conradt, S Schaal Autonomous Robots 12 (1), 55-69, 2002	117	2002

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