基于人类行为的意图推理方法研究

Y. Inagaki, H. Sugie, H. Aisu, T. Unemi
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引用次数: 14

摘要

本文提出了与人共生机器人系统的概念,并提出了一种基于人的行为进行意图推理的方法,该方法适用于与人合作完成简单任务的智能机器人,无需进行复杂的交流。机器人从传感器获取有关环境(包括人类)的瞬时数据,并将其转化为包含模糊时间尺度的定性表达式,如“他停了一会儿”、“他刚才改变了方向”。如果任务非常简单,目标明确,则可以用模糊自动机来表达人类行为模型。在这个模型中,每个人的情况的过渡是由模糊规则使用定性表达式控制。我们建立了一个简单的合作任务,并提出了一个与这种情况相对应的人类行为模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of a method for intention inference from human's behavior
In this paper, we propose a concept of symbiotic robot system with human, as well as a method for intention inference from the human's behavior for intelligent robots who carry out a simple task cooperatively with human, without complex communication. The robots get instantaneous data about the environment, including human, from sensors, and translate them into qualitative expressions that contain vague time scale as follows: "He is stopping for a while", "He changed his direction just now". If the task is very simple and the goal is clear, a human behavior model can be expressed by fuzzy automata. In this model, a transition of each human's situation is controlled by fuzzy rules using qualitative expressions. We set up a simple cooperative task, and propose a human behavior model corresponding to this case.<>
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