Stefan Schaal

According to our database1, Stefan Schaal authored at least 227 papers between 1992 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to robot learning and modular motion planning".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
A Robustness Analysis of Inverse Optimal Control of Bipedal Walking.
IEEE Robotics and Automation Letters, 2019

2018
The Playful Software Platform: Reactive Programming for Orchestrating Robotic Behavior.
IEEE Robot. Automat. Mag., 2018

Real-Time Perception Meets Reactive Motion Generation.
IEEE Robotics and Automation Letters, 2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.
CoRR, 2018

Scaling simulation-to-real transfer by learning composable robot skills.
CoRR, 2018

Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Time-Contrastive Networks: Self-Supervised Learning from Video.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Unsupervised Contact Learning for Humanoid Estimation and Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

On Time Optimization of Centroidal Momentum Dynamics.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Online Learning of a Memory for Learning Rates.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

An MPC Walking Framework with External Contact Forces.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Probabilistic Recurrent State-Space Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Task-Specific Dynamics to Improve Whole-Body Control.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
Locally Weighted Regression for Control.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Interactive Perception: Leveraging Action in Perception and Perception in Action.
IEEE Trans. Robotics, 2017

Probabilistic Articulated Real-Time Tracking for Robot Manipulation.
IEEE Robotics and Automation Letters, 2017

A MPC Walking Framework With External Contact Forces.
CoRR, 2017

Combining learned and analytical models for predicting action effects.
CoRR, 2017

On Time Optimisation of Centroidal Momentum Dynamics.
CoRR, 2017

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the relevance of grasp metrics for predicting grasp success.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A new data source for inverse dynamics learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning feedback terms for reactive planning and control.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Model-based policy search for automatic tuning of multivariate PID controllers.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Path integral guided policy search.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Optimizing Long-term Predictions for Model-based Policy Search.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

On the design of LQR kernels for efficient controller learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Regrasping Using Tactile Perception and Supervised Policy Learning.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Robot Learning.
Proceedings of the Springer Handbook of Robotics, 2016

Bioinspired Motor Control for Articulated Robots [From the Guest Editors].
IEEE Robot. Automat. Mag., 2016

A new perspective and extension of the Gaussian Filter.
I. J. Robotics Res., 2016

On the Fundamental Importance of Gauss-Newton in Motion Optimization.
CoRR, 2016

Risk sensitive nonlinear optimal control with measurement uncertainty.
CoRR, 2016

A Convex Model of Momentum Dynamics for Multi-Contact Motion Generation.
CoRR, 2016

A Probabilistic Representation for Dynamic Movement Primitives.
CoRR, 2016

Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment.
CoRR, 2016

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics.
Big Data, 2016

Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid.
Auton. Robots, 2016

Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals.
Proceedings of the From Animals to Animats 14, 2016

Generalizing Regrasping with Supervised Policy Learning.
Proceedings of the International Symposium on Experimental Robotics, 2016

Towards robust online inverse dynamics learning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning where to search using visual attention.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Structured contact force optimization for kino-dynamic motion generation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Robot arm pose estimation by pixel-wise regression of joint angles.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Inertial sensor-based humanoid joint state estimation.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Drifting Gaussian processes with varying neighborhood sizes for online model learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Automatic LQR tuning based on Gaussian process global optimization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Optimizing for what matters: The top grasp hypothesis.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Depth-based object tracking using a Robust Gaussian Filter.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Exemplar-based prediction of global object shape from local shape similarity.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A convex model of humanoid momentum dynamics for multi-contact motion generation.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Balancing and walking using full dynamics LQR control with contact constraints.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Surface tilt perception with a biomimetic tactile sensor.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

Robust Gaussian filtering using a pseudo measurement.
Proceedings of the 2016 American Control Conference, 2016

2015
Robust Gaussian Filtering.
CoRR, 2015

Policy Learning with Hypothesis based Local Action Selection.
CoRR, 2015

A New Perspective and Extension of the Gaussian Filter.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Data-Driven Online Decision Making for Autonomous Manipulation.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Direct Loss Minimization Inverse Optimal Control.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Understanding the geometry of workspace obstacles in Motion Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraging big data for grasp planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Humanoid momentum estimation using sensed contact wrenches.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Trajectory generation for multi-contact momentum control.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
Local Gaussian Regression.
CoRR, 2014

An autonomous manipulation system based on force control and optimization.
Auton. Robots, 2014

Learning of grasp selection based on shape-templates.
Auton. Robots, 2014

Incremental Local Gaussian Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dual execution of optimized contact interaction trajectories.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

State estimation for a humanoid robot.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Efficient Bayesian local model learning for control.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Robot arm pose estimation through pixel-wise part classification.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning coupling terms for obstacle avoidance.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Full dynamics LQR control of a humanoid robot: An experimental study on balancing and squatting.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
From dynamic movement primitives to associative skill memories.
Robotics and Autonomous Systems, 2013

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors.
Neural Computation, 2013

Optimal distribution of contact forces with inverse-dynamics control.
I. J. Robotics Res., 2013

Momentum-based Balance Control for Torque-controlled Humanoids
CoRR, 2013

Probabilistic object tracking using a range camera.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Learning task error models for manipulation.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning objective functions for manipulation.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation.
IEEE Trans. Robotics, 2012

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.
IEEE Trans. Autonomous Mental Development, 2012

Movement Segmentation and Recognition for Imitation Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Probabilistic depth image registration incorporating nonvisual information.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Template-based learning of grasp selection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Force Control Policies for Compliant Robotic Manipulation.
Proceedings of the 29th International Conference on Machine Learning, 2012

Quadratic programming for inverse dynamics with optimal distribution of contact forces.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Towards Associative Skill Memories.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Encoding of periodic and their transient motions by a single dynamic movement primitive.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011
Bayesian robot system identification with input and output noise.
Neural Networks, 2011

Learning, planning, and control for quadruped locomotion over challenging terrain.
I. J. Robotics Res., 2011

Learning variable impedance control.
I. J. Robotics Res., 2011

Learning motion primitive goals for robust manipulation.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Online movement adaptation based on previous sensor experiences.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Movement segmentation using a primitive library.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning force control policies for compliant manipulation.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning to grasp under uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Inverse dynamics control of floating-base robots with external constraints: A unified view.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Skill learning and task outcome prediction for manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

STOMP: Stochastic trajectory optimization for motion planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Reinforcement learning of impedance control in stochastic force fields.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Hierarchical reinforcement learning with movement primitives.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Control of legged robots with optimal distribution of contact forces.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Path integral control and bounded rationality.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Locally Weighted Regression for Control.
Proceedings of the Encyclopedia of Machine Learning, 2010

Learning Control in Robotics.
IEEE Robot. Automat. Mag., 2010

Efficient Learning and Feature Selection in High-Dimensional Regression.
Neural Computation, 2010

Learning Policy Improvements with Path Integrals.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Generalized Path Integral Control Approach to Reinforcement Learning.
J. Mach. Learn. Res., 2010

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills).
Automatisierungstechnik, 2010

Variable Impedance Control - A Reinforcement Learning Approach.
Proceedings of the Robotics: Science and Systems VI, 2010

Reinforcement learning of motor skills in high dimensions: A path integral approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Inverse dynamics control of floating base systems using orthogonal decomposition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fast, robust quadruped locomotion over challenging terrain.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Reinforcement learning of full-body humanoid motor skills.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Constrained accelerations for controlled geometric reduction: Sagittal-plane decoupling for bipedal locomotion.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009
Local Dimensionality Reduction for Non-Parametric Regression.
Neural Processing Letters, 2009

On-line learning and modulation of periodic movements with nonlinear dynamical systems.
Auton. Robots, 2009

Learning locomotion over rough terrain using terrain templates.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Compliant quadruped locomotion over rough terrain.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning and generalization of motor skills by learning from demonstration.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Compact models of motor primitive variations for predictable reaching and obstacle avoidance.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Inertial parameter estimation of floating base humanoid systems using partial force sensing.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Path integral-based stochastic optimal control for rigid body dynamics.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Robot Programming by Demonstration.
Proceedings of the Springer Handbook of Robotics, 2008

Variational Bayesian least squares: An application to brain-machine interface data.
Neural Networks, 2008

Special issue on robotics and neuroscience.
Neural Networks, 2008

Reinforcement learning of motor skills with policy gradients.
Neural Networks, 2008

A Library for Locally Weighted Projection Regression.
J. Mach. Learn. Res., 2008

Learning to Control in Operational Space.
I. J. Robotics Res., 2008

Operational Space Control: A Theoretical and Empirical Comparison.
I. J. Robotics Res., 2008

Editorial: Special Issue on Machine Learning in Robotics.
I. J. Robotics Res., 2008

Natural Actor-Critic.
Neurocomputing, 2008

A unifying framework for robot control with redundant DOFs.
Auton. Robots, 2008

Bayesian Kernel Shaping for Learning Control.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Bayesian approach to empirical local linearization for robotics.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

CB: Exploring neuroscience with a humanoid research platform.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields.
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

Inverse kinematics with floating base and constraints for full body humanoid robot control.
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

2007
A Kalman filter for robust outlier detection.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Task space control with prioritization for balance and locomotion.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.
Proceedings of the IJCAI 2007, 2007

Automatic Outlier Detection: A Bayesian Approach.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

A Robust Quadruped Walking Gait for Traversing Rough Terrain.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Reinforcement Learning for Operational Space Control.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Inverse Dynamics Control with Floating Base and Constraints.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Policy Learning for Motor Skills.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Reinforcement learning by reward-weighted regression for operational space control.
Proceedings of the Machine Learning, 2007

Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning.
Proceedings of the ESANN 2007, 2007

Learning an Outlier-Robust Kalman Filter.
Proceedings of the Machine Learning: ECML 2007, 2007

Towards Machine Learning of Motor Skills.
Proceedings of the Autonome Mobile Systeme 2007, 2007

2006
Special Issue on The Brain Mechanisms of Imitation Learning.
Neural Networks, 2006

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
Proceedings of the Robotics: Science and Systems II, 2006

Learning Operational Space Control.
Proceedings of the Robotics: Science and Systems II, 2006

Policy Gradient Methods for Robotics.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Reinforcement Learning for Parameterized Motor Primitives.
Proceedings of the International Joint Conference on Neural Networks, 2006

Bayesian regression with input noise for high dimensional data.
Proceedings of the Machine Learning, 2006

2005
A model of smooth pursuit in primates based on learning the target dynamics.
Neural Networks, 2005

Composite adaptive control with locally weighted statistical learning.
Neural Networks, 2005

Incremental Online Learning in High Dimensions.
Neural Computation, 2005

Editorial.
I. J. Humanoid Robotics, 2005

Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Rapid synchronization and accurate phase-locking of rhythmic motor primitives.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

A unifying methodology for the control of robotic systems.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Comparative experiments on task space control with redundancy resolution.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

An exoskeleton robot for human arm movement study.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Natural Actor-Critic.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Learning from demonstration and adaptation of biped locomotion.
Robotics and Autonomous Systems, 2004

Discovering optimal imitation strategies.
Robotics and Autonomous Systems, 2004

Feedback error learning and nonlinear adaptive control.
Neural Networks, 2004

An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Learning Composite Adaptive Control for a Class of Nonlinear Systems.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

The Bayesian backfitting relevance vector machine.
Proceedings of the Machine Learning, 2004

A framework for learning biped locomotion with dynamical movement primitives.
Proceedings of the 4th IEEE/RAS International Conference on Humanoid Robots, 2004

2003
Learning Movement Primitives.
Proceedings of the Robotics Research, The Eleventh International Symposium, 2003

Discovering imitation strategies through categorization of multi-dimensional data.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

2002
Statistical Learning for Humanoid Robots.
Auton. Robots, 2002

Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.
Appl. Intell., 2002

Learning Attractor Landscapes for Learning Motor Primitives.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A locally weighted learning composite adaptive controller with structure adaptation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Learning rhythmic movements by demonstration using nonlinear oscillators.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks.
Neural Networks, 2001

Graph matching vs mutual information maximization for object detection.
Neural Networks, 2001

Biomimetic Oculomotor Control.
Adaptive Behaviour, 2001

Overt visual attention for a humanoid robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Biomimetic smooth pursuit based on fast learning of the target dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Trajectory formation for imitation with nonlinear dynamical systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Learning inverse kinematics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Robust learning of arm trajectories through human demonstration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000
Using Humanoid Robots to Study Human Behavior.
IEEE Intelligent Systems, 2000

Humanoid robot for brain research.
Advanced Robotics, 2000

Fast and Efficient Incremental Learning for High-Dimensional Movement Systems.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Inverse Kinematics for Humanoid Robots.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Real-Time Robot Learning with Locally Weighted Statistical Learning.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.
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.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998
Local Adaptive Subspace Regression.
Neural Processing Letters, 1998

Constructive Incremental Learning from Only Local Information.
Neural Computation, 1998

Robot gaze stabilization based on mimesis of oculomotor dynamics and vestibulocerebellar learning.
Advanced Robotics, 1998

Toward biomimetic oculomotor control.
Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

1997
Locally Weighted Learning for Control.
Artif. Intell. Rev., 1997

Locally Weighted Learning.
Artif. Intell. Rev., 1997

Local Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning tasks from a single demonstration.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

Robot Learning From Demonstration.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Local dimensionality reduction for locally weighted learning.
Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996
A Kendama Learning Robot Based on Bi-directional Theory.
Neural Networks, 1996

Learning from Demonstration.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Memory-based neural networks for robot learning.
Neurocomputing, 1995

From Isolation to Cooperation: An Alternative View of a System of Experts.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Robot Learning By Nonparametric Regression.
Proceedings of the Intelligent Robots and Systems, 1994

Memory-Based Robot Learning.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994

1993
Assessing the Quality of Learned Local Models.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Open Loop Stable Control Strategies for Robot Juggling.
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993

1992
Integrierte Wissensverarbeitung mit CAD am Beispiel der konstruktionsbegleitenden Kalkulation.
PhD thesis, 1992


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