利用大数据技术改进移动机器人导航方法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2023-06-13 DOI:10.3103/S0005105523020036

D. M. Tsapin, K. V. Pitelinskiy

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引用次数: 0

摘要

本文描述了移动机器人系统及其信息管理过程，这些过程产生了大数据技术的使用。考虑了一组同时定位和映射（SLAM）方法在移动机器人地形导航中的应用特点。概述了SLAM方法的实现方法及其在机器人操作系统包平台上的实现。证明了使用卷积神经网络来提高SLAM方法准确性的可能性。此外，本文还给出了移动机器人系统导航算法的概念图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Using Big Data Technology to Improving Navigation Methods for Mobile Robots

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Using Big Data Technology to Improving Navigation Methods for Mobile Robots

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.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.