Conversation system for natural communication with robot partner

机译：与机器人伙伴自然交流的对话系统

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This paper proposes a conversation system for verbal communication between a human and a robot partner. The system has three main components. In the first one, the conversation system uses the relationship between utterance sentences and perceptual information. Additionally, human utterance patterns are also used to realize a scenario-like conversation. Similarity information between verbs and adjectives of different sentences are also utilized. The second component is the sentence building module which is based on predefined set of rules. Therefore, the robot can also respond using sentence creation. In the third module, the robot can select sentence based on time dependent information. We show experimental results of the proposed method using a real robot partner.

机译：本文提出了一种对话系统，用于人类和机器人伙伴之间的口头交流。该系统具有三个主要组件。在第一个中，会话系统使用话语句子和感知信息之间的关系。另外，人类话语模式也用于实现类似情景的对话。还利用了不同句子的动词和形容词之间的相似性信息。第二个组件是句子构建模块，它基于预定义的规则集。因此，机器人还可以使用句子创建进行响应。在第三模块中，机器人可以根据时间相关信息选择句子。我们使用真实的机器人伙伴展示了该方法的实验结果。

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来源
《10th France-Japan Congress, 8th Europe-Asia Congress on Mechatronics》|2014年|349-354|共6页
会议地点 Tokyo(JP)
作者
Jinseok Woo; Botzheim Janos; Kubota Naoyuki;
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作者单位

Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Tokyo, Japan;

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会议组织
原文格式 PDF
正文语种 eng
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关键词
human-robot interaction; natural language processing; conversation system; human utterance sentence patterns; natural communication; perceptual information; robot partner; scenario-like conversation; sentence building module; similarity information; time dependent information; verbal communication; Buildings; Educational institutions; Learning systems; Natural language processing; Robot sensing systems; Senior citizens;

机译：人机交互;自然语言处理;对话系统;人类话语句型;自然交流;知觉信息;机器人伴侣;情景式对话;句子构建模块;相似性信息;时间相关信息;语言交流;建筑物;教育机构;学习系统;自然语言处理;机器人感应系统;老年人;;

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Conversation system for natural communication with robot partner

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