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A SLAM method to improve the safety performance of mine robot

机译:一种提高矿石机器人安全性能的力量方法

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摘要

The positioning accuracy of mine mobile robot is one of the important factors to ensure its safety in the complex mine environment. To improve the positioning accuracy of the robot, the improved firefly algorithm is introduced into particle filter SLAM, and firefly position update is applied instead of particle resampling, Improved the firefly brightness formula, designed the firefly position update formula, and adjusted the parameters of the firefly algorithm adaptively, and closed - loop method is used to control the optimization of firefly particles, witch controlled the balance between ability of global optimization and local optimization. Experimental results show that the method in this paper makes the particle distribution more reasonable, which further improves the robot's positioning accuracy and ensures its safety in complex environment.
机译:矿井移动机器人的定位精度是确保其在复杂矿井环境中安全的重要因素之一。 为了提高机器人的定位精度,将改进的萤火虫算法引入粒子滤波器上,并应用萤火虫位置更新而不是粒子重采样,改进了萤火虫亮度公式,设计了萤火虫位置更新公式,并调整了参数 萤火虫算法自适应,闭环方法用于控制萤火虫粒子的优化,巫婆控制了全局优化能力与局部优化之间的平衡。 实验结果表明,本文的方法使粒子分布更合理,这进一步提高了机器人的定位精度,并确保其在复杂环境中的安全性。

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