Fuzzy and neural control for mobile robotics experimentations

G. Bourdon, P. Hénaff
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引用次数: 4

Abstract

The authors present some mobile robotics experimentations they are leading in their laboratory. The first example has for context mobile robot cooperation. They propose a reactive method to join and accost a dynamic vehicle in the view to perform collaboration tasks. They show how the simple form of Takagi-Sugeno fuzzy controllers permits one to define the desired accosting strategy according to the relative configuration of both robots. The second experimentation concerns the use of neural techniques to control the Cartesian position and orientation of a mobile robot. The aim is to illustrate how a neural controller could be used to implement reactive control.
移动机器人实验的模糊与神经控制
作者介绍了他们在实验室领导的一些移动机器人实验。第一个例子是针对上下文的移动机器人合作。他们提出了一种响应式方法来加入和搭讪视图中的动态车辆以执行协作任务。他们展示了Takagi-Sugeno模糊控制器的简单形式如何允许人们根据两个机器人的相对配置来定义所需的搭讪策略。第二个实验涉及使用神经技术来控制移动机器人的笛卡尔位置和方向。目的是说明如何使用神经控制器来实现反应性控制。
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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