From Motor Learning to Interaction Learning in Robots

[1]  Dana Kulic,et al.  Incremental Learning of Full Body Motion Primitives , 2010, From Motor Learning to Interaction Learning in Robots.

[2]  Brett Browning,et al.  Mobile Robot Motion Control from Demonstration and Corrective Feedback , 2010, From Motor Learning to Interaction Learning in Robots.

[3]  Daniel H. Grollman,et al.  Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration? , 2010, From Motor Learning to Interaction Learning in Robots.

[4]  Paul F. M. J. Verschure,et al.  Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior , 2010, From Motor Learning to Interaction Learning in Robots.

[5]  Martin V. Butz,et al.  The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics , 2010, From Motor Learning to Interaction Learning in Robots.

[6]  Olivier Sigaud,et al.  Learning Forward Models for the Operational Space Control of Redundant Robots , 2010, From Motor Learning to Interaction Learning in Robots.

[7]  José Santos-Victor,et al.  Multimodal Language Acquisition Based on Motor Learning and Interaction , 2010, From Motor Learning to Interaction Learning in Robots.

[8]  Giulio Sandini,et al.  Learning to Exploit Proximal Force Sensing: A Comparison Approach , 2010, From Motor Learning to Interaction Learning in Robots.

[9]  Eiichi Yoshida,et al.  Human-Robot Cooperation Based on Interaction Learning , 2010, From Motor Learning to Interaction Learning in Robots.

[10]  Rajesh P. N. Rao,et al.  Learning to Imitate Human Actions through Eigenposes , 2010, From Motor Learning to Interaction Learning in Robots.

[11]  Marc Toussaint,et al.  A Bayesian View on Motor Control and Planning , 2010, From Motor Learning to Interaction Learning in Robots.

[12]  Jan Peters,et al.  Real-Time Local GP Model Learning , 2010, From Motor Learning to Interaction Learning in Robots.

[13]  José Santos-Victor,et al.  Abstraction Levels for Robotic Imitation: Overview and Computational Approaches , 2010, From Motor Learning to Interaction Learning in Robots.

[14]  Oliver Kroemer,et al.  Learning Continuous Grasp Affordances by Sensorimotor Exploration , 2010, From Motor Learning to Interaction Learning in Robots.

[15]  Sethu Vijayakumar,et al.  Methods for Learning Control Policies from Variable-Constraint Demonstrations , 2010, From Motor Learning to Interaction Learning in Robots.

[16]  Pierre-Yves Oudeyer,et al.  Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning , 2010, From Motor Learning to Interaction Learning in Robots.

[17]  Betty J. Mohler,et al.  Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling , 2010, From Motor Learning to Interaction Learning in Robots.

[18]  Jun Zhang,et al.  Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing , 2010, From Motor Learning to Interaction Learning in Robots.

[19]  Sethu Vijayakumar,et al.  Adaptive Optimal Feedback Control with Learned Internal Dynamics Models , 2010, From Motor Learning to Interaction Learning in Robots.

[20]  Philippe Gaussier,et al.  Proprioception and Imitation: On the Road to Agent Individuation , 2010, From Motor Learning to Interaction Learning in Robots.

[21]  David Silver,et al.  Learning to search: Functional gradient techniques for imitation learning , 2009, Auton. Robots.

[22]  Pieter Abbeel,et al.  Learning for control from multiple demonstrations , 2008, ICML '08.

[23]  Aude Billard,et al.  On Learning, Representing, and Generalizing a Task in a Humanoid Robot , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  Yiannis Demiris,et al.  Hierarchical attentive multiple models for execution and recognition of actions , 2006, Robotics Auton. Syst..

[25]  E. Todorov,et al.  A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems , 2005, Proceedings of the 2005, American Control Conference, 2005..

[26]  E. Todorov Optimality principles in sensorimotor control , 2004, Nature Neuroscience.

[27]  Pieter Abbeel,et al.  Apprenticeship learning via inverse reinforcement learning , 2004, ICML.

[28]  Giulio Sandini,et al.  Developmental robotics: a survey , 2003, Connect. Sci..

[29]  K. Doya,et al.  A unifying computational framework for motor control and social interaction. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[30]  Michael I. Jordan,et al.  Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.

[31]  F. Lyddy Cerebellar symmetry in dyslexics , 2002, Trends in Cognitive Sciences.

[32]  Jun Nakanishi,et al.  Learning Attractor Landscapes for Learning Motor Primitives , 2002, NIPS.

[33]  Kenji Doya,et al.  What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? , 1999, Neural Networks.

[34]  Stefan Schaal,et al.  Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.

[35]  Stefan Schaal,et al.  Robot Learning From Demonstration , 1997, ICML.