Agent-based Control Architecture for Mobile Robot Navigation

Khadidja Yahyaoui
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引用次数: 1

Abstract

The problems of mobile robotics relate to the design and the study of functions of perception decision and action and the coherent integration of these functions in a physical machine. This article proposes to use the paradigm multi-agents and fuzzy logic in the design of the control architecture for the mobile robot navigation in an environment constrained. The control architecture is conceived to tackle various problems produced during navigation. It consists of four agents : agent perception, agent feasibility, agent of locomotion and agent fuzzycontroller. This last uses in its reasoning the fuzzy logic principle. The method used enabled us to have an intelligent system able to adapt to all the changes in the environment of navigation.
基于agent的移动机器人导航控制体系结构
移动机器人的问题涉及感知、决策和行动功能的设计和研究,以及这些功能在物理机器中的连贯集成。本文提出将多智能体和模糊逻辑应用于受限环境下移动机器人导航控制体系结构的设计。控制体系结构是为了解决导航过程中产生的各种问题。它由agent感知、agent可行性、agent运动和agent模糊控制器四个agent组成。最后在其推理中运用了模糊逻辑原理。所采用的方法使我们能够拥有一个能够适应导航环境的所有变化的智能系统。
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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