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
Kianoush NazarpourProfessor of Digital Health, University of EdinburghVerified email at ed.ac.uk
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
David BraunAssistant Professor, Vanderbilt UniversityVerified email at vanderbilt.edu
Agamemnon KrasoulisIntelligencia AI & University of EdinburghVerified email at intelligencia.ai
Carlos MastalliNational Robotarium, Heriot-Watt UniversityVerified email at hw.ac.uk
Yiming YangUniversity of EdinburghVerified email at ed.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Tomohiro ShibataProfessor of Kyushu Institute of TechnologyVerified email at brain.kyutech.ac.jp
Michael MistryProfessor of Robotics, University of EdinburghVerified email at ed.ac.uk
Christopher Granger AtkesonProfessor, Robotics Institute, CMUVerified email at cmu.edu
Taku KomuraThe University of Hong KongVerified email at ed.ac.uk
João MouraResearch Associate at The University of EdinburghVerified email at ed.ac.uk
Konrad RawlikChancellor's Fellow, Baillie-Gifford Pandemic Science Hub, Center for Inflammation ResearchVerified email at ed.ac.uk
Steve TonneauReader, University of EdinburghVerified email at exseed.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	1597	2005
Incremental online learning in high dimensions S Vijayakumar, A D'souza, S Schaal Neural Computation 17 (12), 2602-2634, 2005	687	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	588*	2000
Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003	529	2003
Learning inverse kinematics A D'Souza, S Vijayakumar, S Schaal Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and …, 2001	424	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	376	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	365	2012
Scalable techniques from nonparametric statistics for real time robot learning S Schaal, CG Atkeson, S Vijayakumar Applied Intelligence 17, 49-60, 2002	322	2002
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	309	2020
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	232	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	213	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	204	2017
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLoS Comput Biol 10 (6), e1003661, 2014	203	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	194*	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	182	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	159	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	142*	2008
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	130	2001

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