The implementation of fuzzy-based path planning for car-like mobile robot

Hung-Ching Lu, Chih-Ying Chuang
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引用次数: 15

Abstract

In this paper, fuzzy theory is employed in the practical car-like mobile robot. Two kinds of fuzzy logic controllers, steering angle control and speed control, are already designed. As giving the geometric data and desired destination, a collision-free trajectory connecting the robot's initial and final configurations is constructed in the free configuration space and then a time parameterization for the trajectory is found under some certain constraints so that the trajectory becomes a reference trajectory. Finally, the car-like mobile robot follows the reference trajectory as close as possible through a control scheme. The main object is to keep the car-like mobile robot from hitting the obstacles and to bring this mobile robot to a desired position. Finally, the experiment results verify that the proposed method will lead the car-like mobile robot to dodge the obstacle and reach the target.
基于模糊的类车移动机器人路径规划实现
本文将模糊理论应用于实际的类车移动机器人。已经设计了两种模糊控制器:转向角控制和速度控制。在给定几何数据和期望目标的情况下,在自由构型空间中构造一条连接机器人初始构型和最终构型的无碰撞轨迹,并在一定约束条件下对该轨迹进行时间参数化,使其成为参考轨迹。最后,通过控制方案使仿车移动机器人尽可能接近参考轨迹。主要目的是防止汽车型移动机器人撞到障碍物,并使移动机器人到达期望的位置。最后,实验结果验证了所提方法能使仿车移动机器人顺利躲过障碍物并到达目标。
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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