Socially Developmental Robot based on Self-Induced Contingency with Multi Latencies
Socially Developmental Robot based on Self-Induced Contingency with Multi Latencies
复制标题
基于多延迟自诱发事件的社交发展机器人
DOI：
10.1007/978-94-007-4792-0_34
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
M. Asada
中科院分区：
文献类型：
--
作者：
H. Sumioka;Y. Yoshikawa;M. Morizono;M. Asada
早期社会性发展是人类婴儿和他/她的照顾者相互适应的过程。本文提出了一种学习机制来发现现实世界中人机交互的偶然性，其目的是实现与婴儿与护理人员交互中的相互适应类似的过程。基于信息论的应急措施不仅用于获取行为规则，还用于寻找合适的延迟来观察发现的应急情况。实验结果表明，机器人可以通过20分钟的交互来获得一系列的社会行为，例如对人类主体的注视和言语。基于交互数据的分析，从行为的转变和同步方面讨论了它们之间的相互适应。
Early social development is a process that a human infant and his/her caregiver adapt to each other. This paper presents a learning mechanism to find the contingency of human-robot interaction in the real world, which is intended to enable similar process to the mutual adaptation in the infant-caregiver interactions. A contingency measure based on information theory is applied not only to acquire behavior rules but also to find suitable latency to observe the found contingency. Experimental results show that a robot can acquire a series of social behavior such as gaze following and utterance to a human subject through 20 min interaction. Mutual adaptation between them is discussed in terms of transition and synchronization of their behavior, based on the analysis of the interaction data.
通过响应预测和习惯/去习惯共同创建人机交互规则
DOI：
--
发表时间：
2009
期刊：
影响因子：
--
作者：
Takatsugu Kuriyama;Yasuo Kuniyoshi
通讯作者：
Yasuo Kuniyoshi