Research of AGV positioning based on the two-dimensional Code Recognition Method

L. Juntao, Zhang Jun, Wu Zhilei, Chen Weiyi
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引用次数: 6

Abstract

The automatic logistics and warehousing handling robot AGV is equipped with non-contact control guide, and use a kind of storage battery as a power source. The computer-controlled automatic guiding AGV is developed on the basis of comprehensive analysis of advantages and disadvantages of various modes of guidance, combining absolute and relative positioning application, ultimately I choose the fusion positioning way of Visual navigation and inertial navigation systems. The visual navigation technology used in this article determine the current AGV car's real time location information through the camera on the AGV robot scan the two-dimensional code, then correct this information directly on the inertial navigation system, and readjust the initial parameters for inertial navigation system in order to effectively guarantee AGV positioning accuracy of robot <; ± 20 mm. This article includes theoretical analysis of the feasibility of this approach and specific experimental verification of its reliability, finally through the experimental results shows the positioning methods used to regulate AGV robot localization can control its positioning accuracy within ± 20 mm.
基于二维码识别的AGV定位方法研究
自动物流仓储搬运机器人AGV采用非接触式控制导轨,采用一种蓄电池作为动力源。计算机控制的自动制导AGV是在综合分析各种制导方式优缺点的基础上,结合绝对定位和相对定位的应用,最终选择了视觉导航和惯性导航系统的融合定位方式。本文采用的视觉导航技术,通过AGV机器人上的摄像头扫描二维码,确定当前AGV小车的实时位置信息,然后直接在惯性导航系统上对该信息进行校正,并重新调整惯性导航系统的初始参数,以有效保证AGV机器人的定位精度;±20mm。本文对该方法的可行性进行了理论分析,并对其可靠性进行了具体的实验验证,最后通过实验结果表明,采用该定位方法调节AGV机器人定位,可将其定位精度控制在±20 mm以内。
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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