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ROS based Autonomous Indoor Navigation Simulation Using SLAM Algorithm

Publication Type : Conference Paper

Publisher : International Journal of Pure and Applied Mathematics.

Source : International Journal of Pure and Applied Mathematics (2018)

Url : https://acadpubl.eu/jsi/2018-118-7-9/articles/7/27.pdf

Keywords : Gazebo; ROS; Rviz; Gmapping; laser scan; Navigation; SLAM; Robot model; Packages.

Campus : Amritapuri

School : School of Engineering

Center : Humanitarian Technology (HuT) Labs

Department : Electronics and Communication

Year : 2018

Abstract : In this paper, we are checking the flexibility of a SLAM based mobile robot to map and navigate in an indoor environment. It is based on the Robot Operating System (ROS) framework. The model robot is made using gazebo package and simulated in Rviz. The mapping process is done by using the GMapping algorithm, which is an open source algorithm. The aim of the paper is to evaluate the mapping, localization, and navigation of a mobile robotic model in an unknown environment.

Cite this Research Publication : Rajesh Kannan Megalingam, C Teja, R., Sreekanth, S., and Raj, A., “ROS based Autonomous Indoor Navigation Simulation Using SLAM Algorithm”, in International Journal of Pure and Applied Mathematics, 2018

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