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Navigation System Based on Learning Vector Quantization Method for Robot Inspecting Object

机译:基于学习矢量量化方法的导航系统为机器人检查对象

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One of the tasks given to the robot is to work in unpredictable environments. The physical limitation of human needs a robot to facilitate the work. In this study, the mobile robot has been designed to navigate in inspecting target or suspected objects. The Learning Vector Quantization (LVQ) method was implanted in the robot to navigate around the object. This experiment has been carried out in the arena, and the objects were rectangle, triangle, and circle shapes. The experimental results show that the robot can navigate around these objects with both the movement from the right side and the left side. The mobile robot can maintain the distance from objects ranging from 30 cm to 40 cm with the time required to surround the rectangle object and reach one rotation being 17 seconds, for the triangle object 14 seconds, and the circle object 12 seconds.
机译:给机器人的任务之一是在不可预测的环境中工作。 人类的物理限制需要一个机器人来促进工作。 在本研究中,移动机器人设计用于在检查目标或疑似对象中导航。 植入机器人中的学习矢量量化(LVQ)方法以导航在对象周围。 该实验已经在舞台上进行,物体是矩形,三角形和圆形形状。 实验结果表明,机器人可以在右侧和左侧的运动中绕过这些物体导航。 移动机器人可以在围绕矩形对象所需的时间,从30厘米到40cm的物体保持距离,并且对于三角形物体14秒,并且圆对象12秒达到17秒。

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