Situated perception of a partner robot based on neuro-fuzzy computing

Naoyulu Kubota, Kenichiro Nishida
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引用次数: 1

Abstract

This paper discusses the situated perception of a partner robot interacting with a human. The situated perception is based on the mutual cognitive environment discussed in relevance theory. It is very important to share actual environment in order to realize natural communication, because the meaning of natural language and gesture can be translated according to the surrounding environment. Next, we discuss the role of imitation based on gesture, and explain the method for imitative behavior generation. Finally, we show experimental results of situated perception, imitative behavior generation, and behavior coordination through interaction with a human.
基于神经模糊计算的伙伴机器人定位感知
本文讨论了伙伴机器人与人类互动的情境感知。情境感知是建立在关联理论所讨论的相互认知环境的基础上的。为了实现自然交流,共享实际环境是非常重要的,因为自然语言和手势的意义可以根据周围的环境进行翻译。接下来,我们讨论了基于手势的模仿的作用,并解释了模仿行为生成的方法。最后,我们展示了情境感知、模仿行为产生和通过与人类互动的行为协调的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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