机器人视觉引导中标定参数同步求解方法
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  • 英文篇名:A Synchronous Solution Method of Calibration Parameters for Visual Guidance of Robot
  • 作者:曾劲松 ; 薛文凯 ; 翟晓彤 ; 徐博凡 ; 郎梦梦
  • 英文作者:ZENG Jinsong;XUE Wenkai;ZHAI Xiaotong;XU Bofan;LANG Mengmeng;School of Mechanical Engineering, Zhengzhou University;
  • 关键词:机器人 ; 相机标定 ; 手眼标定 ; 最大似然估计 ; 非线性最小二乘
  • 英文关键词:Robot;;Camera calibration;;Hand-eye calibration;;Maximum likelihood estimation;;Nonlinear least squares
  • 中文刊名:JCYY
  • 英文刊名:Machine Tool & Hydraulics
  • 机构:郑州大学机械工程学院;
  • 出版日期:2019-05-15
  • 出版单位:机床与液压
  • 年:2019
  • 期:v.47;No.483
  • 基金:17省产学研合作项目(172107000008);; 河南省高等学校重点科研项目(16A460011)
  • 语种:中文;
  • 页:JCYY201909008
  • 页数:4
  • CN:09
  • ISSN:44-1259/TH
  • 分类号:44-47
摘要
在分析机器人视觉引导中各坐标系转换关系的基础上,提出一种基于最大似然估计的非线性机器人视觉引导标定参数的计算方法,该方法根据最大似然估计构造计算过程中矩阵变换测度函数,采用Levenberg-Marquardt算法求解非线性最小二乘问题,可一次性求解出摄像机标定参数和手眼标定参数。通过数值仿真和真实机器人标定实验,将计算结果与经典标定方法的计算结果进行了比较。结果表明:提出的算法相对于经典算法在估计误差、对噪声的敏感度和稳定性方面均有所提高。
        Based on the analysis of the transformation relationship of coordinate systems in the visual guidance of the robot, a nonlinear calculation method for calibrated parameters based on the maximum likelihood estimation was proposed by constructing the matrix transformation measure function. Levenberg-Marquardt algorithm, widely used to solve the nonlinear least squares problem, was applied to solve parameters for camera calibration and hand-eye calibration at one time. Through the numerical simulation and the in-site calibration, the results were compared with those from classical method. The results show that the proposed algorithm has reduced the estimation error and the noise sensitivity and improved stability compared with the classical algorithm.
引文
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