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Mobile Robot Navigation Using Fuzzy Logic in Static Environments

机译:在静态环境中使用模糊逻辑的移动机器人导航

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In ours paper, we have developed a Mamdani Fuzzy interference system in MATLAB R2014a for mobile robot navigation in static environment. Inputs of the fuzzy inference system are the angle between the robot orientation and the robot target orientation (i.e. robot rotation angle) and the distance measured by the ultrasonic sensor from the obstacle to the orientation. The robot can reach the target with less bending energy, minimum time and shortest path with obstacle avoidance in static environment. The proposed system takes minimum inputs and rules to avoid the clustered obstacles in the static environments. It also calculate the angular velocities of two wheels of the mobile robot. The efficiency of the proposed method is verified by the simulation and experimental results.
机译:在本文中,我们在MATLAB R2014a中开发了Mamdani Fuzzy干涉系统,用于在静态环境中移动机器人导航。模糊推理系统的输入是机器人方位与机器人目标方位之间的角度(即机器人旋转角度)以及超声波传感器从障碍物到方位的距离。在静态环境中,机器人可以以更少的弯曲能量,最少的时间和最短的路径到达目标,并避免障碍物。所提出的系统采用最少的输入和规则来避免在静态环境中聚集的障碍。它还可以计算移动机器人的两个轮子的角速度。仿真和实验结果验证了该方法的有效性。

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