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A hybrid approach with fuzzy logic in a multi-agent system for controlling autonomous mobile robots in known environments

机译:多智能体系统中具有模糊逻辑的混合方法,用于在已知环境中控制自主移动机器人

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This paper describes the development of a multi-agent system (MAS), which is supported with fuzzy logic (to control the robot's movements in a reactive path) and vision, which helps the control of an autonomous mobile robot to exit a maze. The research consists of two stages. In the first stage the problem is to be able to make the robot exit a maze, the mobile robot is positioned at the entrance (point A) and should reach an exit (B), it should be noted that we are working with a NXT Lego MINDSTORMS robot. In its second phase the problem is to make the robot search for a recognised object, for this, a camera is used to capture images, which will be processed with vision techniques, for their identification, and after that, the MAS takes the decision to evade or take the object as considered appropriate.
机译:本文介绍了多智能体系统(MAS)的开发,该系统受模糊逻辑(控制机器人在反应路径中的运动)和视觉的支持,该视觉系统有助于控制自动移动机器人退出迷宫。研究包括两个阶段。在第一步中,问题在于能够使机器人退出迷宫,移动机器人位于入口(A点)并且应该到达出口(B),应注意,我们正在使用NXT乐高MINDSTORMS机器人。在第二阶段,问题是让机器人搜索可识别的物体,为此,使用摄像头捕获图像,然后使用视觉技术对其进行处理以识别图像,然后,MAS做出决定避开或采取认为适当的物体。

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