Fuzzy Based Indoor Navigation for Mobile Robots

Máté Tóth, D. Stojcsics, Zsolt Domozi, I. Lovas
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引用次数: 2

Abstract

In today's world the expansion of autonomous robots is getting bigger and bigger, while in everyday life the people can meet devices which are capable of managing a wide range of tasks independently. In order to manage tasks these robots are equipped with sensors, which they use to be able to sample and analyze the parameters of their environment. The robots use obtained information to modify and help their own operation or rather its smooth running. Particular autonomous robots navigate themselves using the data utilized for their orientation and if necessary they manage obstacle avoidance in order, that the robot may reach its destination. Such sensors can be cameras too which provide image data of the robot's environment. The navigation procedure to be introduced in the article was developed for a Turtlebot robot utilizing stereo vision. The robot is modularly built. Real-time 3D reconstruction, which is the basis of navigation, is to be introduced in detail in another article yet to be published.
基于模糊的移动机器人室内导航
在当今世界,自主机器人的扩张越来越大,而在日常生活中,人们可以遇到能够独立管理各种任务的设备。为了管理任务,这些机器人配备了传感器,它们使用传感器来采样和分析环境参数。机器人使用获得的信息来修改和帮助自己的操作,或者更确切地说,它的平稳运行。特定的自主机器人使用用于定位的数据进行导航,如果必要的话,它们会按照顺序避开障碍物,使机器人能够到达目的地。这种传感器也可以是摄像头,提供机器人周围环境的图像数据。本文介绍的导航程序是为利用立体视觉的Turtlebot机器人开发的。这个机器人是模块化建造的。实时三维重建是导航的基础,将在另一篇尚未发表的文章中详细介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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