Stefan Klanke
Stefan Klanke
Unknown affiliation
Verified email at - Homepage
Cited by
Cited by
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
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
A library for locally weighted projection regression
S Klanke, S Vijayakumar, S Schaal
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
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
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
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
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
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
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
Variants of unsupervised kernel regression: General cost functions
S Klanke, H Ritter
Neurocomputing 70 (7-9), 1289-1303, 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
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
Learning manifolds with the parametrized self-organizing map and unsupervised kernel regression
S Klanke
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
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
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
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
Learning potential-based policies from constrained motion
M Howard, S Klanke, M Gienger, C Goerick, S Vijayakumar
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
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