An improved vision calibration method for coaxial alignment microassembly

Author:

Ye Xin,Gao Jun,Zhang Zhijing,Shao Chao,Shao Guangyuan

Abstract

Purpose – The purpose of this paper is to propose a sub-pixel calibration method for a microassembly system with coaxial alignment function (MSCA) because traditional sub-pixel calibration approaches cannot be used in this system. Design/methodology/approach – The in-house microassembly system comprises a six degrees of freedom (6-DOF) large motion serial robot with microgrippers, a hexapod 6-DOF precision alignment worktable and a vision system whose optical axis of the microscope is parallel with the horizontal plane. A prism with special coating is fixed in front of the objective lens; thus, two parts’ Figures, namely the images of target and base part, can be acquired simultaneously. The relative discrepancy between the two parts can be calculated from image plane coordinate instead of calculating space transformation matrix. Therefore, the traditional calibration method cannot be applied in this microassembly system. An improved calibration method including the check corner detection solves the distortion coefficient conversely. This new way can detect the corner at sub-pixel accuracy. The experiment proves that the assembly accuracy of the coaxial microassembly system which has been calibrated by the new method can reach micrometer level. Findings – The calibration results indicate that solving the distortion conversely could improve the assembly accuracy of MSCA. Originality/value – The paper provides certain calibration methodological guidelines for devices with 2 dimensions or 2.5 dimensions, such as microelectromechanical systems devices, using MSCA.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Control and Systems Engineering

Reference18 articles.

1. Ammi, M. , Fremont, M. , Ferreira, V. and Ferreira, A. (2009), “Automatic camera-based microscope calibration for a tele-micromanipulation system using a virtual pattern”, IEEE International Conference on Robotics and Automation (ICRA), Vol. 1-4, pp. 184-191.

2. Harris, C. and Stephens, M. (1988), “A combined corner and edge detector”, Proceedings of the Fourth Alvey Vision Conference, pp. 147-151.

3. Liu, G.H. , Wang, W.B. and Yuan, J.Y. (2009), “A novel camera calibration method of variable focal length based on single-view”, Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security, Vol. 2, pp. 154-158.

4. Liu, Y. , Wang, F.L. , Chang, Y.-Q. and Lu, Z (2007), “Black and white x-corner detection algorithm”, Journal of Northeastern University, Vol. 28 No. 8, pp. 1090-1093.

5. Liu, Z.Q. and Tatsuya, N. (2007), “Combination of robot control and assembly planning for a precision manipulator”, International Journal of Advanced Manufacturing Technology, Vol. 31 Nos 7/8, pp. 797-804.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Markless Visual Servoing for 3C Product Assembly with Quotient Kinematics Manipulator;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

2. A unified calibration method of 3D laser profile measurement with different of laser-line lengths;Robotic Intelligence and Automation;2023-03-02

3. A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images;IEEE Access;2021

4. Robotic precision assembly system for microstructures;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2019-11-07

5. Automatic press-fit assembly of small precision interference fitting parts: armature of electro-hydraulic servo valve;Assembly Automation;2019-11-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3