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.
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