Reactive navigation of autonomous guided vehicle using fuzzy logic

I. I. Ismail, M. Nordin
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引用次数: 1

Abstract

In this paper, reactive navigation of an autonomous guided vehicle (AGV) is described using the fuzzy logic technique. Typically AGV has the ability to operate and move purposely without human intervention and reactive navigation is one of the robot navigation methods used in dealing with the uncertainties and ambiguity of the information of the path that the robot traverses. Fuzzy logic is chosen to control the AGV due to its strength in incorporating the knowledge of an experienced operator. Two fuzzy controllers are designed for controlling the steering angle and speed of the AGV. These will be based on the distance and angle of obstacles. The navigation simulation will be performed using MATLAB.
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基于模糊逻辑的自动导航车辆响应导航
本文利用模糊逻辑技术对自动制导车辆的被动导航进行了研究。典型的AGV具有不需要人为干预的有目的地操作和移动的能力,响应式导航是机器人导航方法之一,用于处理机器人所穿越路径信息的不确定性和模糊性。选择模糊逻辑来控制AGV,因为它在结合经验丰富的操作员的知识方面具有优势。设计了两个模糊控制器来控制AGV的转向角度和转向速度。这些将基于障碍物的距离和角度。导航仿真将使用MATLAB进行。
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