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A Study of Autonomous Navigation of a Robot Model based on SLAM, ROS, and Kinect
Author(s) -
Asilbek Ganiev,
Kang Hee Lee
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.33.18517
Subject(s) - mobile robot , robot , computer science , point (geometry) , path (computing) , artificial intelligence , simultaneous localization and mapping , mobile robot navigation , computer vision , simulation , robot control , mathematics , geometry , programming language
In this paper, we used a robot operating system (ROS) that is designed to work with mobile robots. ROS provides us with simultaneous localization and mapping of the environment, and here it is used to autonomously navigate a mobile robot simulator between specified points. Also, when the mobile robot automatically navigates between the starting point and the target point, it bypasses obstacles; and if necessary, sets a new path of the route to reach the goal point.  

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