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Robust navigation algorithm of the fishlike robot in the unknown underwater environment

机译:未知水下环境中鱼形机器人的鲁棒导航算法

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摘要

This paper proposes an algorithm that enables the safe navigation toward the destination without collisions to the obstacle in underwater environment. Recently the study about the underwater robot goes ahead actively and above all, the navigation in the underwater environment has become a challenging problem for the underwater robots. Using the proposed method, an effective motion for the navigation of the underwater robot is created and the most stable motion direction without collisions is calculated using the fuzzy theory. It creates total 3 cells for the robot to move along and each cell has its own weight so that the robot can select a next moving cell by priority in the same environment. In this paper, the navigation of the underwater robot in underwater environment has been observed through the simulations when the force like ocean exists. It is confirmed that the obstacle avoidance can be successfully achieved by analyzing and changing the weights in the fuzzy algorithm according to the motion of the robot
机译:本文提出了一种算法,该算法可以在不撞到水下环境中的障碍物的情况下安全地导航到目的地。近年来,关于水下机器人的研究积极进行,最重要的是,水下环境中的导航已成为水下机器人的挑战性问题。使用所提出的方法,创建了用于水下机器人导航的有效运动,并使用模糊理论计算了没有碰撞的最稳定运动方向。它为机器人移动总共创建了3个单元,每个单元都有自己的重量,这样机器人就可以在同一环境中优先选择下一个移动单元。在本文中,当存在海洋之类的力时,通过仿真观察了水下机器人在水下环境中的导航。通过对模糊算法根据机器人的运动进行权重分析和改变权重,可以成功实现避障。

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