Memory System Controlled by Mathematical AIM Model for Robot Vision Equipped with Sleep and Wake Functions
Memory System Controlled by Mathematical AIM Model for Robot Vision Equipped with Sleep and Wake Functions
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具有睡眠和唤醒功能的机器人视觉数学 AIM 模型控制的存储系统
DOI：
10.1109/sice.2006.315242
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
T. Tsujimura
中科院分区：
文献类型：
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作者：
M. Mikawa;M. Yoshikawa;T. Tsujimura
我们正在研究一种具有睡眠和唤醒功能的机器人视觉系统。我们提出的数学激活-输入-调制（AIM）模型，可以表达意识状态，如清醒或睡眠，控制外部和内部信息处理之间的比例，并行运行，基于外部传感器获得的刺激程度。在唤醒模式中，主要处理由外部传感器获得的外部信息。在睡眠模式下，主要处理存储在存储器中的内部信息。本文的目的是设计一种类似人脑的新型存储器结构，构建一个能够有效存储环境信息的智能机器人视觉系统。记忆结构包括以下三种类似人类的记忆。一个是工作记忆，用于存储几秒钟的视觉信息。另一种是短期记忆，用于暂时存储外部传感器刺激的信息。第三种是长期记忆，用于永久存储重要信息。这些并行运行的存储过程的操作
We are studying a robot vision system that has sleep and wake functions. Our proposed mathematical Activation-Input-Modulation (AIM) model, that can express consciousness states such as waking or sleep, controls a ratio between external and internal information processing, run in parallel, based on degrees of stimuli obtained by external sensors. In a wake mode, the external information obtained by external sensors is mainly processed. In a sleep mode, the internal information stored in a memory is mainly processed. The purpose of this paper is to design a new memory architecture like a human's brain and build an intelligent robot vision system that can store environmental information in its memories efficiently. The memory architecture consists of following three kinds of memories like human beings. One is a working memory for storing visual information for a few seconds. Another is a short-term memory for storing information stimulated by an external sensor temporarily. The third is a long-term memory for storing important information permanently. Operations of these storing processes, which run in parallel