Navigation System of Coal Mine Rescue Robot Based on Virtual Reality Technology

Zenghui Liu
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Abstract

In the coal mining environment, robots have great application potential. Our country is a big coal mining country, and the demand for coal resources is huge. However, our country's coal mining is generally difficult and frequent accidents. Therefore, there is an urgent need for a robot to help rescue after disasters. This article aims to study the coal mine rescue robot navigation system based on virtual reality technology. Based on the analysis of X-3D virtual reality technology characteristics, system design, Hector-SLAM algorithm and Cartographer-SLAM algorithm, the test scenes are constructed through virtual reality technology and compared Hector-SLAM algorithm and Cartographer-SLAM algorithm composition effect and calculation pressure and other indicators. The test results show that the Cartographer-SLAM algorithm does not depend on the odometer, the CPU load is low, the calculation speed is fast, the calculation pressure is small, and the comprehensive comparison is more adaptable to the coal mine environment.
基于虚拟现实技术的煤矿救援机器人导航系统
在煤矿开采环境中,机器人具有很大的应用潜力。我国是一个煤炭开采大国,对煤炭资源的需求巨大。然而,我国煤矿开采普遍难度大,事故频发。因此,迫切需要一种机器人来帮助灾后救援。本文旨在研究基于虚拟现实技术的煤矿救援机器人导航系统。在分析X-3D虚拟现实技术特点、系统设计、Hector-SLAM算法和cartographher - slam算法的基础上,通过虚拟现实技术构建测试场景,比较Hector-SLAM算法和cartographher - slam算法的构图效果和计算压力等指标。试验结果表明,cartographher - slam算法不依赖里程表,CPU负载低,计算速度快,计算压力小,综合比较更适应煤矿环境。
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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