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A Formal description for robots understanding knowledge

机译:机器人了解知识的正式描述

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摘要

In the research field of robotics, as can be seen from the description of the classification of the robot, the autonomous robots should have their own knowledge. Generally, a robot's knowledge refers to the knowledge in the knowledge base of the robot systems. However, Can a robot understand its knowledge? How describes it? In this study we present a logical framework used to describe robots understanding knowledge. Our framework is a first logic system with a semantic interpretation based on sensed data. In this framework, we give a formal definition that a robot understands knowledge, and we define autonomous knowledge of the robot, i.e. the knowledge belonging to the robot itself. More specifically, if a robot has the ability to acquire knowledge through its sensors and can understand, and apply this knowledge in performing tasks, then this knowledge is considered to be the robot's autonomous knowledge. The goal of our work is to formalize these performances of the robot systems. The robots that is described in the proposed framework would have much highly autonomy in the real world.
机译:在机器人的研究领域中,从机器人分类的描述中可以看出,自主机器人应该有自己的知识。通常,机器人的知识是指机器人系统的知识库中的知识。但是,机器人可以了解其知识吗?如何描述它?在这项研究中,我们提出了一种用于描述机器人了解知识的逻辑框架。我们的框架是一种基于所感测数据的语义解释的第一逻辑系统。在这一框架中,我们给出了一个正式的定义,即机器人理解知识,我们定义了机器人的自主知识,即属于机器人本身的知识。更具体地说,如果机器人能够通过传感器获取知识并且可以理解,并在执行任务时应用这些知识,那么这些知识被认为是机器人的自主知识。我们的作品的目标是正规化机器人系统的这些表演。在拟议的框架中描述的机器人将在现实世界中具有很大的自主权。

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