Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2
Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2
复制标题
熟悉办公室的美孚机器人 Jijo-2 的社交嵌入式学习
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
T. Matsui
中科院分区：
文献类型：
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作者：
H. Asoh;S. Hayamizu;Isao Hara;Y. Motomura;S. Akaho;T. Matsui
本文探讨了一个新开发的机器学习方向，称为“社会嵌入式学习”。在这项研究中，我们一直在建立一个具有办公室的移动机器人，该机器人在办公室环境中自动移动，通过在此环境（包括包括在内的环境）中积极收集信息感知多模式数据并与办公室中的人进行对话，并获得有关它最终会熟悉的环境的知识。系统学习过程，以及这种互动的出现是必要的。详细介绍了详细描述的，即实施思想的两个示例，即基于对话的地图获取和以下方式获取路线。
This paper explores a newly developing direction of machine learning called 'socially embedded learning". In this research we have been building an office-conversant mobile robot which autonomously moves around in an office environment, actively gathers information through close interaction wi th this environment including sensing multi-modal data and making dialog with people in the office, and acquires knowledge about the environment wi th which it ultimately becomes conversant. Here our major concerns are in how the close interaction between the learning system and its social environment can help or accelerate the systems learning process, and what kinds of prepared mechanisms are necessary for the emergence of such interactions. The office-conversant robot is a platform on which we implement our ideas and test their feasibility in a real-world setting. An overview of the system is given and two examples of implemented ideas, i.e. dialog-based map acquisition and route acquisition by following, are described in detail.