A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture

2011 IEEE 23rd International Conference on Tools with Artificial Intelligence Pub Date : 2011-11-07 DOI:10.1109/ICTAI.2011.58

T. Arredondo, P. Castillo, Pablo Benapres, Javiera Quiroz, M. Torres

引用次数: 0

Abstract

We describe a biologically inspired memory in a multi-agent based robotic architecture. In this approach, memory and pattern recognition are intertwined to form a cognitive memory that is used for recognition of objects in a robotics environment. This memory is implemented in a multiple agent behavior based blackboard architecture as an object recognition agent. The agent performance is tested against a standard dataset with satisfactory results. The system is currently installed in a mobile robotic platform where its capabilities and applications are explored.

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基于多智能体的机器人结构中的生物启发记忆

我们在基于多智能体的机器人架构中描述了一种生物启发记忆。在这种方法中，记忆和模式识别交织在一起，形成用于识别机器人环境中的物体的认知记忆。这种内存是在基于黑板结构的多代理行为中实现的，作为对象识别代理。在标准数据集上测试了代理的性能，结果令人满意。该系统目前安装在移动机器人平台上，探索其功能和应用。

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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2011 IEEE 23rd International Conference on Tools with Artificial Intelligence

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