移动机器人世界知识与感官信息的整合实验

A. Kak, B. Roberts, K. M. Andress, R. L. Cromwell
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引用次数: 24

摘要

世界表征显然是移动机器人在复杂环境中自主操作所需的感官智能中最重要的部分。在本文中,我们将提出一种基于世界表征和感知信息与表征集成的方法的机器人智能分类。这些表征和感觉整合的方法目前正在我们实验室的移动机器人PETER中被编程。
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Experiments in the integration of world knowledge with sensory information for mobile robots
World representation is obviously a most important part of the sensory intelligence required by a mobile robot in order to operate autonomously in a complex environment. In this paper, we will propose a taxonomy of robot intelligence based on the methods used for world representation and for the integration of sensory information with the representations. These methods of representation and sensory integration are currently being programmed into PETER, a mobile robot, in our lab.
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