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A novel hybrid navigation algorithm for autonomous robotic vacuum cleaners

机译:一种新型自主机器人吸尘器的混合动力导航算法

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An autonomous robotic vacuum cleaner, also known as Robovac, performs the task of vacuuming a room autonomously without the need of human supervision. One of the major parts of the working of such a Robovac is its navigation. The Robovac discussed in this paper achieves this task with the help of an array of 4 ultrasonic sensors, which help prevent collisions, and a camera module for computer vision. A caterpillar wheel arrangement, powered by geared dc motors ensures smooth motion over different kinds of surfaces. The hybrid navigation algorithm uses four different algorithms in the same system, namely - Spiral, Wall follower, S-Shaped, and Random Walk, to ensure maximum area coverage in unit time. The proposed algorithm is efficient and simpler as compared to those reported in the earlier literature.
机译:一个自主机器人吸尘器,也被称为ROBOVAC,在没有人类监督的情况下,执行自主吸尘的任务。这种Robovac的工作的一个主要部分是其导航。本文讨论的Robovac借助4个超声波传感器的阵列实现了这项任务,这有​​助于防止碰撞,以及用于计算机视觉的相机模块。由齿轮直流电机提供动力的毛毛虫车轮布置确保在不同种类的表面上平滑运动。混合导航算法在同一系统中使用四种不同的算法,即螺旋,墙壁从动件,S形和随机步行,以确保单位时间的最大面积覆盖。与早期文献中报告的那些相比,所提出的算法是有效简单的。

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