Abstraction in Recognition to Solve the Correspondence Problem for Robot Imitation

ion in Recognition to Solve the Correspondence Problem for Robot Imitation Matthew Johnson Yiannis Demiris Department of Electrical and Electronic Engineering Imperial College London Exhibition Road, London, SW7 2BT {matthew.johnson, y.demiris}@imperial.ac.uk

[1]  A. Meltzoff,et al.  What imitation tells us about social cognition: a rapprochement between developmental psychology and cognitive neuroscience. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[2]  G. Rizzolatti,et al.  Premotor cortex and the recognition of motor actions. , 1996, Brain research. Cognitive brain research.

[3]  Michael I. Jordan,et al.  Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..

[4]  John Demiris,et al.  Movement imitation mechanisms in robots and humans , 1999 .

[5]  Mitsuo Kawato,et al.  A neural network model for arm trajectory formation using forward and inverse dynamics models , 1993, Neural Networks.

[6]  E. Procyk,et al.  Brain activity during observation of actions. Influence of action content and subject's strategy. , 1997, Brain : a journal of neurology.

[7]  Christopher G. Atkeson,et al.  A Framework for Learning from Observation Using Primitives , 2002, RoboCup.

[8]  Michael I. Jordan,et al.  An internal model for sensorimotor integration. , 1995, Science.

[9]  Yiannis Demiris,et al.  Distributed, predictive perception of actions: a biologically inspired robotics architecture for imitation and learning , 2003, Connect. Sci..

[10]  Chrystopher L. Nehaniv,et al.  Imitation as a Dual-Route Process Featuring Predictive and Learning Components: A Biologically Plausible Computational Model , 2002 .

[11]  D. Wolpert,et al.  Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.

[12]  G. Rizzolatti,et al.  Action recognition in the premotor cortex. , 1996, Brain : a journal of neurology.

[13]  Chrystopher L. Nehaniv,et al.  Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Kumpati S. Narendra,et al.  Adaptive control using multiple models , 1997, IEEE Trans. Autom. Control..

[15]  K. Dautenhahn,et al.  Imitation in Animals and Artifacts , 2002 .

[16]  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.

[17]  D M Wolpert,et al.  Multiple paired forward and inverse models for motor control , 1998, Neural Networks.

[18]  Maja J. Matarić,et al.  Behavior-based primitives for articulated control , 1998 .