工业机器人视觉定位系统高精度标定研究  

Study on High Accurate Calibration of Industrial Robot Vision Positioning System

作　　者：毛剑飞[1] 诸静[1] 

机构地区：[1]浙江大学电气自动化研究所

出　　处：《机器人》2004年第2期139-144,共6页Robot

基　　金：国家自然科学基金资助项目 (6990 4 0 0 9)

摘　　要：分析了机器人视觉的主要标定方法 ,并在此基础上改进了传统的两步标定法 .该方法先用两步法求出转换矩阵的初值再建立优化数学模型 ,优化计算采用快速的高斯—牛顿法 .该方法不仅具有原来两步法的诸多优点 ,如自动、快速 ,而且彻底消除了第二步存在的累积误差 ,大大提高了标定精度 .大量试验表明 ,标定精度明显优于传统的两步法 .The traditional two-stage calibration technique is improved based on the analysis of the principal calibration methods of robot vision. The technique firstly makes use of two-stage method to solve the initial value of the transition matrix,then establishes the optimization mathematical model,and Gauss-Newton method is used in the optimization computation. The proposed technique not only possesses as many virtues as the traditional two-stage method,for example,automationc,high speed,but also completely eliminates the accumulative error existing in the second stage of the traditional method and improves the calibration accuracy greatly. Many experiments indicate that the proposed technique excels the traditional two-stage method distinctly.

关 键 词：机器人视觉标定 两步标定法 优化数学模型 高斯—牛顿法 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]