The robot in the crib: a developmental analysis of imitation skills in infants and robots
Open Access
- 15 January 2008
- journal article
- research article
- Published by Wiley in Infant and Child Development
- Vol. 17 (1) , 43-53
Abstract
Interesting systems, whether biological or artificial, develop. Starting from some initial conditions, they respond to environmental changes, and continuously improve their capabilities. Developmental psychologists have dedicated significant effort to studying the developmental progression of infant imitation skills, because imitation underlies the infant's ability to understand and learn from his or her social environment. In a converging intellectual endeavour, roboticists have been equipping robots with the ability to observe and imitate human actions because such abilities can lead to rapid teaching of robots to perform tasks. We provide here a comparative analysis between studies of infants imitating and learning from human demonstrators, and computational experiments aimed at equipping a robot with such abilities. We will compare the research across the following two dimensions: (a) initial conditions—what is innate in infants, and what functionality is initially given to robots, and (b) developmental mechanisms—how does the performance of infants improve over time, and what mechanisms are given to robots to achieve equivalent behaviour. Both developmental science and robotics are critically concerned with: (a) how their systems can and do go ‘beyond the stimulus’ given during the demonstration, and (b) how the internal models used in this process are acquired during the lifetime of the system. Copyright © 2008 John Wiley & Sons, Ltd.Keywords
This publication has 45 references indexed in Scilit:
- Prior experiences and perceived efficacy influence 3-year-olds' imitation.Developmental Psychology, 2008
- The ‘like me’ framework for recognizing and becoming an intentional agentActa Psychologica, 2007
- ‘Like me’: a foundation for social cognitionDevelopmental Science, 2006
- Using perspective taking to learn from ambiguous demonstrationsRobotics and Autonomous Systems, 2006
- Perceiving the unusual: Temporal properties of hierarchical motor representations for action perceptionNeural Networks, 2006
- Hierarchical attentive multiple models for execution and recognition of actionsRobotics and Autonomous Systems, 2006
- Perceptual Perspective Taking and Action RecognitionInternational Journal of Advanced Robotic Systems, 2005
- Re-enacting intended acts: comparing 12- and 18-month-oldsInfant Behavior and Development, 1999
- Neuropsychological Correlates of Early Symptoms of AutismChild Development, 1998
- Forward Models for Physiological Motor ControlNeural Networks, 1996