Breazeal Cynthia, Scassellati Brian
The Media Lab, Massachusetts Institute of Technology, 77 Massachusetts Ave NE18-5FL, 02139, Cambridge MA, USA
Trends Cogn Sci. 2002 Nov 1;6(11):481-487. doi: 10.1016/s1364-6613(02)02016-8.
The study of social learning in robotics has been motivated by both scientific interest in the learning process and practical desires to produce machines that are useful, flexible, and easy to use. In this review, we introduce the social and task-oriented aspects of robot imitation. We focus on methodologies for addressing two fundamental problems. First, how does the robot know what to imitate? And second, how does the robot map that perception onto its own action repertoire to replicate it? In the future, programming humanoid robots to perform new tasks might be as simple as showing them.
机器人技术中的社会学习研究既源于对学习过程的科学兴趣，也源于制造有用、灵活且易于使用的机器的实际需求。在本综述中，我们介绍了机器人模仿的社会和任务导向方面。我们专注于解决两个基本问题的方法。首先，机器人如何知道要模仿什么？其次，机器人如何将这种感知映射到自己的动作库中以进行复制？未来，对人形机器人进行编程以执行新任务可能会像向它们展示一样简单。
