| Multi-task gaussian process learning of robot inverse dynamics C Williams, S Klanke, S Vijayakumar, K Chai Advances in neural information processing systems 21, 2008 | 146 | 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 | 111 | 2010 |
| A library for locally weighted projection regression S Klanke, S Vijayakumar, S Schaal | 102 | 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 | 87 | 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 | 85 | 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 | 76 | 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 | 63 | 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 | 51 | 2006 |
| A novel method for learning policies from variable constraint data M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar Autonomous Robots 27, 105-121, 2009 | 47 | 2009 |
| Optimal feedback control for anthropomorphic manipulators D Mitrovic, S Nagashima, S Klanke, T Matsubara, S Vijayakumar 2010 IEEE International conference on robotics and automation, 4143-4150, 2010 | 33 | 2010 |
| Variants of unsupervised kernel regression: General cost functions S Klanke, H Ritter Neurocomputing 70 (7-9), 1289-1303, 2007 | 32 | 2007 |
| Adaptive optimal control for redundantly actuated arms D Mitrovic, S Klanke, S Vijayakumar From Animals to Animats 10: 10th International Conference on Simulation of …, 2008 | 30 | 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 | 21 | 2010 |
| Learning manifolds with the parametrized self-organizing map and unsupervised kernel regression S Klanke | 19 | 2007 |
| 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 | 18 | 2014 |
| 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 | 16 | 2010 |
| 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 |
| 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 | 12 | 2009 |
| 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 Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St …, 2009 | 11 | 2009 |
