Imitation in animals and artifacts
Imitation in animals and artifacts
Neural Networks - 2004 Special issue: New developments in self-organizing systems
MOSAIC Model for Sensorimotor Learning and Control
Neural Computation
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Modeling discrete and rhythmic movements through motor primitives: a review
Biological Cybernetics
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Recent neuroscientific evidence in human and non-human primates indicates that the regions that become active during motor execution and motor observation overlap extensively in the cerebral cortex. This suggests that to observe an action, these primates employ their motor and somatosensation areas in order to simulate it internally. In line with this finding, in the current paper, we examine relevant neuroscientific evidence in order to design a computational agent that can facilitate observational learning of reaching movements. For this reason, we develop a novel motor control system, inspired from contemporary theories of motor control, and demonstrate how it can be used during observation to facilitate learning, without the active involvement of the agent's body. Our results show that novel motor skills can be acquired only by observation, by optimizing the peripheral components of the agent's motion.