PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Stefan Klanke

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Number of EPrints submitted by this user: 24

Principal Surfaces from Unsupervised Kernel Regression
Peter Meinicke, Stefan Klanke, Roland Memisevic and Helge Ritter
IEEE Trans. on Pattern Analysis and Machine Intelligence Volume 27, Number 9, pp. 1379-1391, 2005.

Variants of Unsupervised Kernel Regression: General Cost Functions
Stefan Klanke and Helge Ritter
Neurocomputing Volume 70, Number 7-9, pp. 1289-1303, 2007.

Dynamic Path Planning for a 7-DOF Robot Arm
Stefan Klanke, Dimitry Lebedev, Robert Haschke, Jochen Steil and Helge Ritter
In: International Conference on Intelligent Robots and Systems (IROS), 9-15 Oct 2006, Beijing, China.

Variants of Unsupervised Kernel Regression: General Cost Functions
Stefan Klanke and Helge Ritter
In: European Symposium on Artificial Neural Networks (ESANN), 26-28 April 2006, Bruges, Belgium.

A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression
Stefan Klanke and Helge Ritter
In: International Conference on Artificial Neural Networks (ICANN) 2006, 10-14 September 2006, Athens, Greece.

PSOM+ : Parametrized Self-Organizing Maps for noisy and incomplete data
Stefan Klanke and Helge Ritter
In: Workshop on Self-Organizing Maps (WSOM) 2005, September 2006, Paris, France.

Learned system dynamics for adaptive optimal feedback control
Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar
In: Robotics Challenges for Machine Learning, 7 Dec 2007, Whistler, B.C., Canada.

Learning manifolds with the Parametrized Self-Organizing Map and Unsupervised Kernel Regression
Stefan Klanke
(2007) PhD thesis, University of Bielefeld.

A Library For Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal
Journal of Machine Learning Research 2007.

Optimal Control with Adaptive Internal Dynamics Models
Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar
In: ICINCO 2008, Madeira, Portugal(2008).

Adaptive Optimal Control for Redundantly Actuated Arms
Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar
In: SAB 2008, Osaka, Japan(2008).

Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Kian Ming Chai, Christopher Williams, Stefan Klanke and Sethu Vijayakumar
In: NIPS 2008, Vancouver, Canada(2009).

Learning Potential-based Policies from Constrained Motion
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar
In: Humanoids 2008, Daejon, Korea(2008).

A Novel Method for Learning Policies from Constrained Motion
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar
In: ICRA 2009, Kobe, Japan(2009).

Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Görick and Sethu Vijayakumar
Journal of Applied Bionics and Biomechanics 2009.

Does dimensionality reduction improve the quality of motion interpolation?
Sebastian Bitzer, Stefan Klanke and Sethu Vijayakumar
In: ESANN 2009, Bruges, Belgium(2009).

A novel method for learning policies from variable constraint data
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar
Autonomous Robots Volume 27, Number 2, pp. 105-121, 2009. ISSN 0929-5593

Optimal Feedback Control for Anthropomorphic Manipulators
Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara and Sethu Vijayakumar
In: ICRA 2010, Anchorage, Alaska, USA(2010).

Robust Constraint-consistent Learning
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar
In: IROS 2009, 11-15 Oct 2009, St. Louis, USA.

Towards Semi-supervised Manifold Learning: UKR with Structural Hints
Jan Steffen, Stefan Klanke, Sethu Vijayakumar and Helge Ritter
In: WSOM 2009, Orlando, Florida, USA(2009).

Methods for Learning Control Policies from Variable Constraint Demonstrations
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick and Sethu Vijayakumar
In: From Motor Learning to Interaction Learning in Robots Studies in Computational Intelligence , 264 . (2010) Springer Verlag , pp. 253-291. ISBN 978-3-642-05180-7

Adaptive Optimal Feedback Control with Learned Internal Dynamics Models
Djordje Mitrovic, Sethu Vijayakumar and Stefan Klanke
In: From Motor Learning to Interaction Learning in Robots Studies in Computational Intelligence , 264 . (2010) Springer Verlag , pp. 65-84. ISBN 978-3-642-05180-7

A Theory of Impedance Control based on Internal Model Uncertainty
Djordje Mitrovic, Stefan Klanke, Adrian Haith and Sethu Vijayakumar
In: Computational principles of sensorimotor learning, September 13-15 2009, Kloster Irsee, Germany.

Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints
Jan Steffen, Stefan Klanke, Sethu Vijayakumar and Helge Ritter
In: ICRA 2009 Workshop: Approaches to Sensorimotor Learning on Humanoid Robots, Kobe, Japan(2009).