激光测量标定机器人坐标系位姿变换的正交化解算

杨聚庆; 王大勇; 董登峰; 程智; 劳达宝; 周维虎

doi:10.3788/OPE.20182608.1985

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激光测量标定机器人坐标系位姿变换的正交化解算

微纳技术与精密机械 | 更新时间：2020-08-13

- 激光测量标定机器人坐标系位姿变换的正交化解算
- Laser measurement based evaluation for orthogonal transformation calibration of robot pose
- 光学精密工程 2018年26卷第8期页码：1985-1993
- 作者机构：
  
  1.北京工业大学应用数理学院, 北京 100124
  2.中国科学院光电研究院, 北京 100094
- 作者简介：
  
  [ "杨聚庆(1972-), 男, 河南南阳人, 博士研究生, 副教授, 1995年于西安工业大学获得学士学位, 2007年于华中科技大学获得硕士学位, 主要研究方向:机器人控制, 激光测量及光电测控技术。E-mail:yangjuqing@aoe.ac.cn" ]
- 基金信息：
  
  中国科学院STS计划项目资助(KFJ-SW-STS-154);河南省重点科技攻关项目资助(162102310363);河南省高等学校重点科研项目资助(19B510002)
- DOI：10.3788/OPE.20182608.1985
  中图分类号： TP212.9
- 收稿日期：2018-02-05，
  
  录用日期：2018-3-14，
  
  纸质出版日期：2018-08-25
- 稿件说明：
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杨聚庆, 王大勇, 董登峰, 等. 激光测量标定机器人坐标系位姿变换的正交化解算[J]. 光学精密工程, 2018,26(8):1985-1993.

Ju-qing YANG, Da-yong WANG, Deng-feng DONG, et al. Laser measurement based evaluation for orthogonal transformation calibration of robot pose[J]. Optics and precision engineering, 2018, 26(8): 1985-1993.
杨聚庆, 王大勇, 董登峰, 等. 激光测量标定机器人坐标系位姿变换的正交化解算[J]. 光学精密工程, 2018,26(8):1985-1993. DOI： 10.3788/OPE.20182608.1985.

Ju-qing YANG, Da-yong WANG, Deng-feng DONG, et al. Laser measurement based evaluation for orthogonal transformation calibration of robot pose[J]. Optics and precision engineering, 2018, 26(8): 1985-1993. DOI： 10.3788/OPE.20182608.1985.

摘要

针对大型装备智能制造中的机器人在线位姿激光跟踪测量与实时引导需求，提出了一种机器人坐标系与激光测量坐标系标定转换和解算方法。设计了基于距离原则的机器人末端光学工具中心点TCP（Tool Center Point）位置标定算法。通过运用空间点坐标重心化配置算法和基于罗德里格矩阵变换的最小二乘优化算法解算出了具有单位正交性的位姿变换旋转矩阵。进行了机器人坐标系位姿变换激光测量标定和优化对比实验，旋转矩阵初值和正交优化值进行点坐标转换后的综合RMSE分别为0.579 0 mm和0.501 5 mm。结果表明该方法能够有效改进姿态旋转矩阵正交性，并提高位姿变换解算精度。

Abstract

Aiming at the requirements of online laser tracking measuring and real-time steering for robot position and orientation in the field of large-scale high-end equipment manufacturing

a type of transformation calibration method between the robot base and the laser measurement coordinate system was presented in this paper. The algorithm for positional evaluation of optical TCPs (tool center point) was devised based on the criterion of distance

and the computation of a coordinate system center of gravity configuration based on the theory of rigid body kinematics was applied. Subsequently

the least squares optimization estimation for rotation transformation of robot pose was achieved through a Lodrigues matrix transformation. An orthonormal matrix can be reached

which was the pose transformation for the base frame of the robot with respect to the laser measurement frame. The comparison experiment between initial calibration and optimal estimation of pose transformation was performed. Results verified the feasibility and effectiveness of the evaluation process

which significantly improved the unitary orthogonality of the rotation matrix

and the position transformation RMSE of a robot corresponding to the laser measurement frame

which can reach 0.579 0 and 0.501 5 mm

respectively.

关键词

Keywords

references

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