Using Big Data Technology to Improving Navigation Methods for Mobile Robots

Abstract

This article describes mobile robot systems and their information management processes that generate the use of Big Data technologies. The features of the application of the group of simultaneous localization and mapping (SLAM) methods for navigating the terrain of mobile robots are considered. An overview of approaches to the implementation of SLAM methods and their implementations on the platform of robot operation system packages is given. The possibility of using convolutional neural networks to improve the accuracy of the SLAM method is substantiated. In addition, this article presents conceptual diagram of the navigation algorithm for a mobile robotic system.