Multi-task gaussian process learning of robot inverse dynamics C Williams, S Klanke, S Vijayakumar, K Chai Advances in neural information processing systems 21, 265-272, 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 |
A library for locally weighted projection regression S Klanke, S Vijayakumar, S Schaal Journal of Machine Learning Research 9 (Apr), 623-626, 2008 | 82 | 2008 |
Principal surfaces from unsupervised kernel regression P Meinicke, S Klanke, R Memisevic, H Ritter IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (9), 1379-1391, 2005 | 79 | 2005 |
Using brain–computer interfaces and brain-state dependent stimulation as tools in cognitive neuroscience O Jensen, A Bahramisharif, R Oostenveld, S Klanke, A Hadjipapas, ... Frontiers in psychology 2, 100, 2011 | 60 | 2011 |
A computational model of limb impedance control based on principles of internal model uncertainty D Mitrovic, S Klanke, R Osu, M Kawato, S Vijayakumar PloS one 5 (10), e13601, 2010 | 55 | 2010 |
Learning impedance control of antagonistic systems based on stochastic optimization principles D Mitrovic, S Klanke, S Vijayakumar The International Journal of Robotics Research 30 (5), 556-573, 2011 | 51 | 2011 |
Dynamic path planning for a 7-dof robot arm S Klanke, D Lebedev, R Haschke, J Steil, H Ritter 2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006 | 47 | 2006 |
A novel method for learning policies from variable constraint data M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar Autonomous Robots 27 (2), 105-121, 2009 | 42 | 2009 |
Optimal feedback control for anthropomorphic manipulators D Mitrovic, S Nagashima, S Klanke, T Matsubara, S Vijayakumar | 31 | 2010 |
Variants of unsupervised kernel regression: General cost functions S Klanke, H Ritter Neurocomputing 70 (7-9), 1289-1303, 2007 | 30 | 2007 |
Adaptive optimal control for redundantly actuated arms D Mitrovic, S Klanke, S Vijayakumar International Conference on Simulation of Adaptive Behavior, 93-102, 2008 | 28 | 2008 |
Exploiting sensorimotor stochasticity for learning control of variable impedance actuators D Mitrovic, S Klanke, M Howard, S Vijayakumar 2010 10th IEEE-RAS International Conference on Humanoid Robots, 536-541, 2010 | 20 | 2010 |
Learning manifolds with the parametrized self-organizing map and unsupervised kernel regression S Klanke | 18 | 2007 |
Behaviour generation in humanoids by learning potential-based policies from constrained motion M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar Applied Bionics and Biomechanics 5 (4), 195-211, 2008 | 14 | 2008 |
Methods for learning control policies from variable-constraint demonstrations M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar From Motor Learning to Interaction Learning in Robots, 253-291, 2010 | 13 | 2010 |
Learning potential-based policies from constrained motion M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar | 12 | 2008 |
Towards semi-supervised manifold learning: UKR with structural hints J Steffen, S Klanke, S Vijayakumar, H Ritter International Workshop on Self-Organizing Maps, 298-306, 2009 | 11 | 2009 |
Online decoding of object‐based attention using real‐time f MRI AM Niazi, PLC van den Broek, S Klanke, M Barth, M Poel, P Desain, ... European journal of neuroscience 39 (2), 319-329, 2014 | 10 | 2014 |
Realising dextrous manipulation with structured manifolds using unsupervised kernel regression with structural hints J Steffen, S Klanke, S Vijayakumar, H Ritter ICRA 2009 Workshop: Approaches to Sensorimotor Learning on Humanoid Robots, 2009 | 10 | 2009 |