 | 2009 |
|---|
| 74 |       | Andrej Gams,
Auke Jan Ijspeert,
Stefan Schaal,
Jadran Lenarcic:
On-line learning and modulation of periodic movements with nonlinear dynamical systems.
Auton. Robots 27(1): 3-23 (2009) |
| 73 | | Heiko Hoffmann,
Stefan Schaal,
Sethu Vijayakumar:
Local Dimensionality Reduction for Non-Parametric Regression.
Neural Processing Letters 29(2): 109-131 (2009) |
| 2008 |
|---|
| 72 | | Gordon Cheng,
Sang-Ho Hyon,
Ales Ude,
Jun Morimoto,
Joshua G. Hale,
Joseph Hart,
Jun Nakanishi,
Darrin C. Bentivegna,
Jessica K. Hodgins,
Christopher G. Atkeson,
Michael Mistry,
Stefan Schaal,
Mitsuo Kawato:
CB: Exploring neuroscience with a humanoid research platform.
ICRA 2008: 1772-1773 |
| 71 | | Jo-Anne Ting,
Aaron D'Souza,
Sethu Vijayakumar,
Stefan Schaal:
A Bayesian approach to empirical local linearization for robotics.
ICRA 2008: 2860-2865 |
| 70 | | Jo-Anne Ting,
Mrinal Kalakrishnan,
Sethu Vijayakumar,
Stefan Schaal:
Bayesian Kernel Shaping for Learning Control.
NIPS 2008: 1673-1680 |
| 69 | | Aude Billard,
Sylvain Calinon,
Rüdiger Dillmann,
Stefan Schaal:
Robot Programming by Demonstration.
Springer Handbook of Robotics 2008: 1371-1394 |
| 68 | | Jan Peters,
Michael Mistry,
Firdaus E. Udwadia,
Jun Nakanishi,
Stefan Schaal:
A unifying framework for robot control with redundant DOFs.
Auton. Robots 24(1): 1-12 (2008) |
| 67 |  | J. Andrew Bagnell,
Stefan Schaal:
Editorial: Special Issue on Machine Learning in Robotics.
I. J. Robotic Res. 27(2): 155-156 (2008) |
| 66 | | Jan Peters,
Stefan Schaal:
Learning to Control in Operational Space.
I. J. Robotic Res. 27(2): 197-212 (2008) |
| 65 | | Jun Nakanishi,
Rick Cory,
Michael Mistry,
Jan Peters,
Stefan Schaal:
Operational Space Control: A Theoretical and Empirical Comparison.
I. J. Robotic Res. 27(6): 737-757 (2008) |
| 64 | | Stefan Schaal,
Yoshihiko Nakamura,
Paolo Dario:
Special issue on robotics and neuroscience.
Neural Networks 21(4): 551-552 (2008) |
| 63 | | Jan Peters,
Stefan Schaal:
Reinforcement learning of motor skills with policy gradients.
Neural Networks 21(4): 682-697 (2008) |
| 62 | | Jo-Anne Ting,
Aaron D'Souza,
Kenji Yamamoto,
Toshinori Yoshioka,
Donna L. Hoffman,
Shinji Kakei,
Lauren Sergio,
John Kalaska,
Mitsuo Kawato,
Peter Strick,
Stefan Schaal:
Variational Bayesian least squares: An application to brain-machine interface data.
Neural Networks 21(8): 1112-1131 (2008) |
| 61 | | Jan Peters,
Stefan Schaal:
Natural Actor-Critic.
Neurocomputing 71(7-9): 1180-1190 (2008) |
| 2007 |
|---|
| 60 | | Gaurav S. Sukhatme,
Stefan Schaal,
Wolfram Burgard,
Dieter Fox:
Robotics: Science and Systems II, August 16-19, 2006. University of Pennsylvania, Philadelphia, Pennsylvania, USA
The MIT Press 2007 |
| 59 | | Jan Peters,
Stefan Schaal,
Bernhard Schölkopf:
Towards Machine Learning of Motor Skills.
AMS 2007: 138-144 |
| 58 | | Jo-Anne Ting,
Evangelos Theodorou,
Stefan Schaal:
Learning an Outlier-Robust Kalman Filter.
ECML 2007: 748-756 |
| 57 | | Jan Peters,
Stefan Schaal:
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning.
ESANN 2007: 295-300 |
| 56 | | Jan Peters,
Stefan Schaal:
Reinforcement learning by reward-weighted regression for operational space control.
ICML 2007: 745-750 |
| 55 | | Jan Peters,
Stefan Schaal:
Policy Learning for Motor Skills.
ICONIP (2) 2007: 233-242 |
| 54 | | Dimitris Pongas,
Michael Mistry,
Stefan Schaal:
A Robust Quadruped Walking Gait for Traversing Rough Terrain.
ICRA 2007: 1474-1479 |
| 53 | | Jun Nakanishi,
Michael Mistry,
Stefan Schaal:
Inverse Dynamics Control with Floating Base and Constraints.
ICRA 2007: 1942-1947 |
| 52 | | Jan Peters,
Stefan Schaal:
Reinforcement Learning for Operational Space Control.
ICRA 2007: 2111-2116 |
| 51 | | Jo-Anne Ting,
Aaron D'Souza,
Stefan Schaal:
Automatic Outlier Detection: A Bayesian Approach.
ICRA 2007: 2489-2494 |
| 50 | | Narayanan U. Edakunni,
Stefan Schaal,
Sethu Vijayakumar:
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.
IJCAI 2007: 762-767 |
| 49 | | Jo-Anne Ting,
Evangelos Theodorou,
Stefan Schaal:
A Kalman filter for robust outlier detection.
IROS 2007: 1514-1519 |
| 48 | | Jun Nakanishi,
Michael Mistry,
Jan Peters,
Stefan Schaal:
Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers.
IROS 2007: 2520-2527 |
| 47 | | Michael Mistry,
Jun Nakanishi,
Stefan Schaal:
Task space control with prioritization for balance and locomotion.
IROS 2007: 331-338 |
| 2006 |
|---|
| 46 | | Jo-Anne Ting,
Aaron D'Souza,
Stefan Schaal:
Bayesian regression with input noise for high dimensional data.
ICML 2006: 937-944 |
| 45 | | Jan Peters,
Stefan Schaal:
Reinforcement Learning for Parameterized Motor Primitives.
IJCNN 2006: 73-80 |
| 44 | | Jan Peters,
Stefan Schaal:
Policy Gradient Methods for Robotics.
IROS 2006: 2219-2225 |
| 43 | | Jo-Anne Ting,
Michael Mistry,
Jan Peters,
Stefan Schaal,
Jun Nakanishi:
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
Robotics: Science and Systems 2006 |
| 42 | | Jan Peters,
Stefan Schaal:
Learning Operational Space Control.
Robotics: Science and Systems 2006 |
| 41 | | Aude Billard,
Stefan Schaal:
Special Issue on The Brain Mechanisms of Imitation Learning.
Neural Networks 19(3): 251-253 (2006) |
| 2005 |
|---|
| 40 | | Sebastian Thrun,
Gaurav S. Sukhatme,
Stefan Schaal:
Robotics: Science and Systems I, June 8-11, 2005, Massachusetts Institute of Technology, Cambridge, Massachusetts
The MIT Press 2005 |
| 39 | | Jan Peters,
Sethu Vijayakumar,
Stefan Schaal:
Natural Actor-Critic.
ECML 2005: 280-291 |
| 38 | | Jo-Anne Ting,
Aaron D'Souza,
Kenji Yamamoto,
Toshinori Yoshioka,
Donna L. Hoffman,
Lauren Sergio,
Shinji Kakei,
John Kalaska,
Mitsuo Kawato,
Peter Strick,
Stefan Schaal:
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares.
NIPS 2005 |
| 37 | | Gordon Cheng,
Stefan Schaal,
Christopher G. Atkeson:
Editorial.
I. J. Humanoid Robotics 2(4): 389-390 (2005) |
| 36 | | Sethu Vijayakumar,
Aaron D'Souza,
Stefan Schaal:
Incremental Online Learning in High Dimensions.
Neural Computation 17(12): 2602-2634 (2005) |
| 35 | | Jun Nakanishi,
Jay A. Farrell,
Stefan Schaal:
Composite adaptive control with locally weighted statistical learning.
Neural Networks 18(1): 71-90 (2005) |
| 34 | | Tomohiro Shibata,
Hiromitsu Tabata,
Stefan Schaal,
Mitsuo Kawato:
A model of smooth pursuit in primates based on learning the target dynamics.
Neural Networks 18(3): 213-224 (2005) |
| 2004 |
|---|
| 33 | | Aaron D'Souza,
Sethu Vijayakumar,
Stefan Schaal:
The Bayesian backfitting relevance vector machine.
ICML 2004 |
| 32 | | Jun Nakanishi,
Jay A. Farrell,
Stefan Schaal:
Learning Composite Adaptive Control for a Class of Nonlinear Systems.
ICRA 2004: 2647-2652 |
| 31 | | Jun Nakanishi,
Stefan Schaal:
Feedback error learning and nonlinear adaptive control.
Neural Networks 17(10): 1453-1465 (2004) |
| 30 | | Aude Billard,
Yann Epars,
Sylvain Calinon,
Stefan Schaal,
Gordon Cheng:
Discovering optimal imitation strategies.
Robotics and Autonomous Systems 47(2-3): 69-77 (2004) |
| 29 | | Jun Nakanishi,
Jun Morimoto,
Gen Endo,
Gordon Cheng,
Stefan Schaal,
Mitsuo Kawato:
Learning from demonstration and adaptation of biped locomotion.
Robotics and Autonomous Systems 47(2-3): 79-91 (2004) |
| 2003 |
|---|
| 28 | | Stefan Schaal,
Jan Peters,
Jun Nakanishi,
Auke Jan Ijspeert:
Learning Movement Primitives.
ISRR 2003: 561-572 |
| 2002 |
|---|
| 27 | | Auke Jan Ijspeert,
Jun Nakanishi,
Stefan Schaal:
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots.
ICRA 2002: 1398-1403 |
| 26 | | Auke Jan Ijspeert,
Jun Nakanishi,
Stefan Schaal:
Learning Attractor Landscapes for Learning Motor Primitives.
NIPS 2002: 1523-1530 |
| 25 | | Stefan Schaal,
Christopher G. Atkeson,
Sethu Vijayakumar:
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.
Appl. Intell. 17(1): 49-60 (2002) |
| 24 | | Sethu Vijayakumar,
Aaron D'Souza,
Tomohiro Shibata,
Jörg Conradt,
Stefan Schaal:
Statistical Learning for Humanoid Robots.
Auton. Robots 12(1): 55-69 (2002) |
| 2001 |
|---|
| 23 | | Tomohiro Shibata,
Stefan Schaal:
Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks.
Neural Networks 14(2): 201-216 (2001) |
| 22 | | Ladan Shams,
Mark J. Brady,
Stefan Schaal:
Graph matching vs mutual information maximization for object detection.
Neural Networks 14(3): 345-354 (2001) |
| 2000 |
|---|
| 21 | | Sethu Vijayakumar,
Stefan Schaal:
Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.
ICML 2000: 1079-1086 |
| 20 | | Jörg Conradt,
Gaurav Tevatia,
Sethu Vijayakumar,
Stefan Schaal:
On-line Learning for Humanoid Robot Systems.
ICML 2000: 191-198 |
| 19 | | Sethu Vijayakumar,
Stefan Schaal:
Fast and Efficient Incremental Learning for High-Dimensional Movement Systems.
ICRA 2000: 1894-1899 |
| 18 | | Stefan Schaal,
Christopher G. Atkeson,
Sethu Vijayakumar:
Real-Time Robot Learning with Locally Weighted Statistical Learning.
ICRA 2000: 288-293 |
| 17 | | Gaurav Tevatia,
Stefan Schaal:
Inverse Kinematics for Humanoid Robots.
ICRA 2000: 294-299 |
| 16 | | Tomohiro Shibata,
Stefan Schaal:
Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks.
ICRA 2000: 3847-3854 |
| 15 | | Shinya Kotosaka,
Stefan Schaal,
Tomohiro Shibata:
Humanoid robot for brain research.
Advanced Robotics 14(5): 419-421 (2000) |
| 14 | | Christopher G. Atkeson,
Joshua G. Hale,
Frank E. Pollick,
Marcia Riley,
Shinya Kotosaka,
Stefan Schaal,
Tomohiro Shibata,
Gaurav Tevatia,
Ales Ude,
Sethu Vijayakumar,
Mitsuo Kawato:
Using Humanoid Robots to Study Human Behavior.
IEEE Intelligent Systems 15(4): 46-56 (2000) |
| 1998 |
|---|
| 13 | | Stefan Schaal,
Christopher G. Atkeson:
Constructive Incremental Learning from Only Local Information.
Neural Computation 10(8): 2047-2084 (1998) |
| 12 | | Sethu Vijayakumar,
Stefan Schaal:
Local Adaptive Subspace Regression.
Neural Processing Letters 7(3): 139-149 (1998) |
| 1997 |
|---|
| 11 | | Christopher G. Atkeson,
Stefan Schaal:
Robot Learning From Demonstration.
ICML 1997: 12-20 |
| 10 | | Stefan Schaal,
Sethu Vijayakumar,
Christopher G. Atkeson:
Local Dimensionality Reduction.
NIPS 1997 |
| 9 | | Christopher G. Atkeson,
Andrew W. Moore,
Stefan Schaal:
Locally Weighted Learning.
Artif. Intell. Rev. 11(1-5): 11-73 (1997) |
| 8 | | Christopher G. Atkeson,
Andrew W. Moore,
Stefan Schaal:
Locally Weighted Learning for Control.
Artif. Intell. Rev. 11(1-5): 75-113 (1997) |
| 1996 |
|---|
| 7 | | Stefan Schaal:
Learning from Demonstration.
NIPS 1996: 1040-1046 |
| 6 | | Hiroyuki Miyamoto,
Stefan Schaal,
Francesca Gandolfo,
Hiroaki Gomi,
Yasuharu Koike,
Rieko Osu,
Eri Nakano,
Yasuhiro Wada,
Mitsuo Kawato:
A Kendama Learning Robot Based on Bi-directional Theory.
Neural Networks 9(8): 1281-1302 (1996) |
| 1995 |
|---|
| 5 | | Stefan Schaal,
Christopher G. Atkeson:
From Isolation to Cooperation: An Alternative View of a System of Experts.
NIPS 1995: 605-611 |
| 4 | | Christopher G. Atkeson,
Stefan Schaal:
Memory-based neural networks for robot learning.
Neurocomputing 9(3): 243-269 (1995) |
| 1994 |
|---|
| 3 | | Stefan Schaal,
Christopher G. Atkeson:
Memory-Based Robot Learning.
ICRA 1994: 2928-2933 |
| 1993 |
|---|
| 2 | | Stefan Schaal,
Christopher G. Atkeson:
Open Loop Stable Control Strategies for Robot Juggling.
ICRA (3) 1993: 913-918 |
| 1 | | Stefan Schaal,
Christopher G. Atkeson:
Assessing the Quality of Learned Local Models.
NIPS 1993: 160-167 |
