Sethu Vijayakumar

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Active estimation of object dynamics parameters with tactile sensors.

[BibT_eX]

[DOI]

Hannes P. Saal

Jo-Anne Ting

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Controlling humanoid robots in topology coordinates.

[BibT_eX]

[DOI]

Edmond S. L. Ho

Taku Komura

Subramanian Ramamoorthy

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Using dimensionality reduction to exploit constraints in reinforcement learning.

[BibT_eX]

[DOI]

Matthew Howard

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Optimal Feedback Control for anthropomorphic manipulators.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Exploiting sensorimotor stochasticity for learning control of variable impedance actuators.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Transferring impedance control strategies between heterogeneous systems via apprenticeship learning.

[BibT_eX]

[DOI]

Matthew Howard

Djordje Mitrovic

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Planning and Moving in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Local Dimensionality Reduction for Non-Parametric Regression.

[BibT_eX]

[DOI]

Heiko Hoffmann

Neural Process. Lett., 2009

Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models.

[BibT_eX]

[DOI]

Adrian Haith

Biol. Cybern., 2009

A novel method for learning policies from variable constraint data.

[BibT_eX]

[DOI]

Auton. Robots, 2009

Towards Semi-supervised Manifold Learning: UKR with Structural Hints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors.

[BibT_eX]

[DOI]

Narayanan Unny Edakunni

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Robust constraint-consistent learning.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

A novel method for learning policies from constrained motion.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Latent spaces for dynamic movement primitives.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Does dimensionality reduction improve the quality of motion interpolation?

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Structure Inference for Bayesian Multisensory Scene Understanding.

[BibT_eX]

[DOI]

Timothy M. Hospedales

IEEE Trans. Pattern Anal. Mach. Intell., 2008

A Library for Locally Weighted Projection Regression.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Geodesic Gaussian kernels for value function approximation.

[BibT_eX]

[DOI]

Auton. Robots, 2008

Adaptive Optimal Control for Redundantly Actuated Arms.

[BibT_eX]

[DOI]

Djordje Mitrovic

Proceedings of the From Animals to Animats 10, 2008

Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies.

[BibT_eX]

[DOI]

Ioannis Havoutis

Christopher K. I. Williams

Proceedings of the From Animals to Animats 10, 2008

Bayesian Kernel Shaping for Learning Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Unifying the Sensory and Motor Components of Sensorimotor Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multi-task Gaussian Process Learning of Robot Inverse Dynamics.

[BibT_eX]

[DOI]

Kian Ming Adam Chai

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Bayesian approach to empirical local linearization for robotics.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Optimal Control with Adaptive Internal Dynamics Models.

[BibT_eX]

Djordje Mitrovic

Proceedings of the ICINCO 2008, 2008

Learning potential-based policies from constrained motion.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

2007

Load estimation and control using learned dynamics models.

[BibT_eX]

[DOI]

Georgios Petkos

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Structure Inference for Bayesian Multisensory Perception and Tracking.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Joel J. Cartwright

Proceedings of the IJCAI 2007, 2007

Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.

[BibT_eX]

[DOI]

Narayanan Unny Edakunni

Proceedings of the IJCAI 2007, 2007

Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts.

[BibT_eX]

[DOI]

Georgios Petkos

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Linear and nonlinear generative probabilistic class models for shape contours.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Sensor-assisted adaptive motor control under continuously varying context.

[BibT_eX]

Proceedings of the ICINCO 2007, 2007

2006

Learning Utility Surfaces for Movement Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Part-based Probabilistic Point Matching using Equivalence Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Part-Based Probabilistic Point Matching.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Probabilistic Approach to Robust Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts.

[BibT_eX]

[DOI]

Georgios Petkos

Marc Toussaint

Proceedings of the Artificial Neural Networks, 2006

Hierarchical Procrustes Matching for Shape Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Incremental Online Learning in High Dimensions.

[BibT_eX]

[DOI]

Aaron D'Souza

Neural Comput., 2005

Learning discontinuities for switching between local models.

[BibT_eX]

[DOI]

Marc Toussaint

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2D Shape Classification and Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning discontinuities with products-of-sigmoids for switching between local models.

[BibT_eX]

[DOI]

Marc Toussaint

Proceedings of the Machine Learning, 2005

Natural Actor-Critic.

[BibT_eX]

[DOI]

Jan Peters

Proceedings of the Machine Learning: ECML 2005, 2005

2004

The Bayesian backfitting relevance vector machine.

[BibT_eX]

[DOI]

Aaron D'Souza

Proceedings of the Machine Learning, 2004

2002

Statistical Learning for Humanoid Robots.

[BibT_eX]

[DOI]

Auton. Robots, 2002

Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.

[BibT_eX]

[DOI]

Appl. Intell., 2002

2001

Biomimetic Oculomotor Control.

[BibT_eX]

[DOI]

Adapt. Behav., 2001

Overt visual attention for a humanoid robot.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Learning inverse kinematics.

[BibT_eX]

[DOI]

Aaron D'Souza

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000

Using Humanoid Robots to Study Human Behavior.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2000

Fast and Efficient Incremental Learning for High-Dimensional Movement Systems.

[BibT_eX]

[DOI]

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Real-Time Robot Learning with Locally Weighted Statistical Learning.

[BibT_eX]

[DOI]

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

On-line Learning for Humanoid Robot Systems.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

RKHS-based functional analysis for exact incremental learning.

[BibT_eX]

[DOI]

Hidemitsu Ogawa

Neurocomputing, 1999

Sequential Support Vector Classifiers and Regression.

[BibT_eX]

Si Wu

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

1998

Local Adaptive Subspace Regression.

[BibT_eX]

[DOI]

Neural Process. Lett., 1998

1997

Local Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Local dimensionality reduction for locally weighted learning.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1995

A functional analytic approach to incremental learning in optimally generalizing neural networks.

[BibT_eX]

[DOI]