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
Stefan KlankeVerified email at sklanke.de
Matthew HowardReader in Engineering, King's College LondonVerified email at kcl.ac.uk
Kianoush NazarpourProfessor of Digital Health, University of EdinburghVerified email at ed.ac.uk
Theodoros StouraitisRoboPhren, DeepSea TechnologiesVerified email at deepsea.ai
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Agamemnon KrasoulisIntelligencia AI & University of EdinburghVerified email at intelligencia.ai
David BraunFounder and CTO of Adaptive MachinesVerified email at adaptivemachines.tech
Carlos MastalliResearch Scientist, Heriot-Watt University and IHMCVerified email at hw.ac.uk
Yiming YangUniversity of EdinburghVerified email at ed.ac.uk
João MouraResearch Associate at The University of EdinburghVerified email at ed.ac.uk
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Steve TonneauReader, University of EdinburghVerified email at exseed.ed.ac.uk
Taku KomuraThe University of Hong KongVerified email at ed.ac.uk

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	1652	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	732	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	606*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	535	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	437	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	378	2000
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	377	2012
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	350	2020
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17, 49-60, 2002	327	2002
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	242	2011
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	227	2012
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	219	2017
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLoS Comput Biol 10 (6), e1003661, 2014	215	2014
A Recurrent Variational Autoencoder for Human Motion Synthesis. I Habibie, D Holden, J Schwarz, J Yearsley, T Komura, J Saito, I Kusajima, ... BMVC, 2017	209*	2017
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	187	2013
Hierarchical procrustes matching for shape retrieval G McNeill, S Vijayakumar 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	179	2006
Sequential support vector classifiers and regression S Vijayakumar, S Wu Proc. International Conference on Soft Computing (SOCO'99), Genoa, Italy, 1999	163	1999
Optimal variable stiffness control: formulation and application to explosive movement tasks D Braun, M Howard, S Vijayakumar Autonomous Robots 33, 237-253, 2012	147	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	145*	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	132	2000

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