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A Navigation System for an Underwater Vehicle using the Self-Organizing Map

机译:自组织地图的水下航行器导航系统

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摘要

Underwater vehicles are expected as the attractive tools for thernoperation in the extreme environment such as the deep ocean survey.rnIn order to realize the useful and practical robots which can work inrnthe ocean, underwater vehicles should take their action by judging thernchanging condition from their own sensors and actuators, and arerndesirable to make their behavior with limited efforts of the operators,rnbecause of features caused by the working environment. Therefore, thernmobile robot should be autonomous and adaptive to their environment.rnDevelopment of the path planning system which can navigate thernvehicle without the collision to the obstacles is one of the mostrnimportant problems in order to realize the autonomous underwaterrnvehicles. In this paper, Self-Organizing Map (SOM) proposed byrnKohonen are applied to the navigation which takes the distances to thernsurroundings as inputs, and outputs the direction for the robot tornproceed. The efficiency of path planning system is investigatedrnthrough the simulation and experiments with an underwater vehiclernòTwin-Burgeró.
机译:水下航行器有望成为在诸如深海测量等极端环境下进行操作的诱人工具。为了实现有用且实用的机器人可以在海洋中工作,水下航行器应通过从自己的传感器判断变化情况来采取行动。和执行器,由于工作环境的特性,在操作员的有限努力下,不宜使其动作。因此,移动机器人应具有自主性并适应其环境。开发能够在不碰撞障碍物的情况下导航车辆的路径规划系统是实现自主水下机器人的最重要问题之一。本文将rnKohonen提出的自组织图(SOM)应用于导航中,该导航以到周围环境的距离作为输入,并输出被机器人撕裂的方向。通过水下航行器Twin-Burgeró的仿真和实验研究了路径规划系统的效率。

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