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The robot in the crib: a developmental analysis of imitation skills in infants and robots

机译:婴儿床中的机器人:婴儿和机器人模仿技能的发展分析

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摘要

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.
机译:有趣的系统,无论是生物的还是人工的,都会发展起来。从某些初始条件开始,他们对环境变化做出反应,并不断提高自身能力。发育心理学家为研究婴儿模仿技巧的发展进程付出了巨大的努力,因为模仿是婴儿理解和向其社交环境学习的能力的基础。在不断聚合的知识努力中,机器人专家一直在为机器人配备观察和模仿人类行为的能力,因为这种能力可以导致机器人快速学会执行任务。我们在这里提供对婴儿模仿和向人类示威者学习的研究与旨在为机器人配备这种能力的计算实验之间的比较分析。我们将在以下两个方面对研究进行比较:(a)初始条件-婴儿的先天性,以及最初赋​​予机器人的功能,以及(b)发育机制-婴儿的性能如何随着时间的推移而改善,以及机器人采用了什么机制来实现相同的性能。开发科学和机器人技术都非常关注:(a)他们的系统如何并且能够超出演示过程中给出的刺激,以及(b)在系统的生命周期中如何获取此过程中使用的内部模型。版权所有©2008 John Wiley&Sons,Ltd.

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  • 来源
    《Infant and Child Development》 |2008年第1期|43-53|共11页
  • 作者单位

    Department of Electrical and Electronic Engineering, Imperial College London, London, UK;

    Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA;

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