现代制造技术与装备2024,Vol.60Issue(10) :205-207.

基于双目视觉的钢铁厂用机器人同步定位方法

Robot Synchronous Positioning Method for Steel Factory Based on Binocular Vision

许栋斌
现代制造技术与装备2024,Vol.60Issue(10) :205-207.

基于双目视觉的钢铁厂用机器人同步定位方法

Robot Synchronous Positioning Method for Steel Factory Based on Binocular Vision

许栋斌1
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作者信息

  • 1. 宝武装备智能科技有限公司,上海 201900
  • 折叠

摘要

钢铁厂环境中通常包含大量的粉尘、烟雾等,粉尘、烟雾、高温和光线变化都会影响钢铁厂用机器人的定位精度.为此,提出基于双目视觉的钢铁厂用机器人同步定位方法.该方法首先通过双目视觉系统获取目标物体的图像,利用双目视觉的视差原理,精确计算出目标物体在三维空间中的位置.然后建立机器人的运动学模型,为机器人的运动轨迹预测和当前位置估计提供基础.最后通过特征匹配技术,在双目视觉系统获取的两幅图像中寻找并匹配对应的目标物体特征点,结合机器人的运动学模型,实现机器人的同步定位.实验结果表明,该方法轨迹偏离程度较小,具有更好的稳定性,不仅提高了钢铁厂机器人的定位精度,而且增强了其对于复杂环境的适应性,为钢铁厂自动化生产提供了强有力的技术支持.

Abstract

Steel factory environment usually contains a lot of dust,smoke,dust,smoke,high temperature and light changes will affect the positioning accuracy of steel factory robots.Therefore,this paper presents a synchronous positioning method for steel factory robots based on binocular vision.The method firstly obtains the image of the target object through binocular vision system,and uses the parallax principle of binocular vision to accurately calculate the position of the target object in three-dimensional space.Then the kinematics model of the robot is established to provide the basis for the trajectory prediction and current position estimation of the robot.Finally,the feature points of the target object are found and matched in the two images obtained by the binocular vision system through the feature matching technology,and the robot's kinematic model is combined to realize the synchronous positioning of the robot.The experimental results show that the proposed method has less trajectory deviation and better stability.It not only improves the positioning accuracy of steel mill robot,but also enhances its adaptability to complex environment,and provides strong technical support for the automatic production of steel mill.

关键词

双目视觉/机器人/同步定位/钢铁厂

Key words

binocular vision/robot/synchronous positioning/iron and steel work

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出版年

2024
现代制造技术与装备
山东省机械设计研究院 山东机械工程学会

现代制造技术与装备

影响因子:0.197
ISSN:1673-5587
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