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
Wolfgang MerktSenior Researcher, Oxford Robotics InstituteVerified email at robots.ox.ac.uk
Matthew HowardReader in Engineering, King's College LondonVerified email at kcl.ac.uk
Stefan KlankeVerified email at sklanke.de
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Kianoush NazarpourProfessor of Digital Health, University of EdinburghVerified email at ed.ac.uk
David BraunAssistant Professor, Vanderbilt UniversityVerified email at Vanderbilt.Edu
Agamemnon KrasoulisSenior Machine Learning Engineer, DeeplabVerified email at deeplab.ai
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Jo-Anne TingDataSeerVerified email at dataseer.digital
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Taku KomuraThe University of Hong KongVerified email at ed.ac.uk
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at roslin.ed.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Jorg ConradtEECS, KTH Stockholm, SwedenVerified email at kth.se
Carlos MastalliNational Robotarium, Heriot-Watt UniversityVerified email at hw.ac.uk
Luigi AcerbiAssistant Professor of Machine and Human Intelligence, University of HelsinkiVerified email at helsinki.fi

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Natural actor-critic J Peters, S Vijayakumar, S Schaal Machine Learning: ECML 2005, 280-291, 2005	1312	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	688	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	544*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	493	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	400	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	357	2000
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17, 49-60, 2002	298	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	292	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	204	2011
Encyclopedia of machine learning JA Ting, S Vijayakumar, S Schaal Encyclopedia of Machine Learning, 613-624, 2010	191	2010
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLoS Comput Biol 10 (6), e1003661, 2014	189	2014
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control C Mastalli, R Budhiraja, W Merkt, G Saurel, B Hammoud, M Naveau, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020	188	2020
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	184	2012
Hierarchical procrustes matching for shape retrieval G McNeill, S Vijayakumar 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	181	2006
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	156	2013
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, 1-14, 2017	155	2017
Sequential support vector classifiers and regression S Vijayakumar, S Wu Proc. International Conference on Soft Computing (SOCO'99), Genoa, Italy, 1999	147	1999
Optimal variable stiffness control: formulation and application to explosive movement tasks D Braun, M Howard, S Vijayakumar Autonomous Robots 33, 237-253, 2012	137	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	130*	2008
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

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