Developing an Efficient Calibration System for Joint Offset of Industrial Robots

被引:0
|
作者
Gao, Bingtuan [1 ,2 ]
Liu, Yong [2 ,3 ]
Xi, Ning [2 ]
Shen, Yantao [4 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48823 USA
[3] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
[4] Univ Nevada, Dept Elect & Biomed Engn, Reno, NV 89557 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
D O I
10.1155/2014/769343
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Joint offset calibration is one of the most important methods to improve the positioning accuracy for industrial robots. This paper presents an efficient method to calibrate industrial robot joint offset. The proposed method mainly relies on a laser pointer mounted on the robot end-effector and a position sensitive device (PSD) located in the work space arbitrarily. A vision based control was employed to aid the laser beam shooting at the center of PSD surface from several initial robot postures. For each shoot, the laser beam was a line in space which can be determined by the robot joint angles and their offsets which were recorded when the laser beam was brought to the center of the PSD surface. Therefore, there are several lines in space parameterized by robot joint offsets only and all these lines were constrained by the same point, that is, the center of the PSD surface. Consequently, an optimization model was formulated and the Levenberg-Marquardt (LM) algorithm was employed to identify the joint offsets. The developed calibration system was implemented on an ABB industrial robot IRB1600 successfully. And the joint offsets of this robot can be calibrated within 6 minutes.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Development and Sensitivity Analysis of a Portable Calibration System for Joint Offset of Industrial Robot
    Liu, Yong
    Xi, Ning
    Zhao, Jianguo
    Nieves-Rivera, Erick
    Jia, Yunyi
    Gao, Bingtuan
    Lu, Jun
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 3838 - 3843
  • [2] An RGB Vision System for the Automatic Calibration of Industrial Robots
    Khorbotly, Sami
    Yoder, John-David
    Baumgartner, Eric T.
    Chaffin, Timothy R.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), 2016, : 139 - 144
  • [3] Calibration of industrial robots with spherical joint using single wire encoder
    Yun, Huitaek
    Jeon, Heungki
    Yang, Seunghan
    Jun, Martin B. G.
    [J]. MANUFACTURING LETTERS, 2022, 33 : 46 - 50
  • [4] Kinematic Calibration and Compensation of Industrial Robots Based on Extended Joint Space
    He, Wei
    Zhang, Pin
    Guo, Kai
    Sun, Jie
    Sivalingam, Vinothkumar
    Huang, Xiaoming
    [J]. IEEE ACCESS, 2023, 11 : 109331 - 109340
  • [5] Computationally efficient and robust kinematic calibration methodologies and their application to industrial robots
    Messay, Temesguen
    Ordonez, Raul
    Marcil, Eric
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2016, 37 : 33 - 48
  • [6] POE-Based Parameter Calibration for Industrial Robots Considering Joint Compliance
    Luo, Ruiqing
    Gao, Wenbin
    Huang, Qi
    [J]. 2021 5TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS 2021), 2021, : 15 - 22
  • [7] A flexible calibration method connecting the joint space and the working space of industrial robots
    Cai, Ying
    Yuan, Peijiang
    Chen, Dongdong
    [J]. INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2018, 45 (03): : 407 - 415
  • [8] A two-stage calibration method for industrial robots with joint and drive flexibilities
    Neubauer, M.
    Gattringer, H.
    Mueller, A.
    Steinhauser, A.
    Hoebarth, W.
    [J]. MECHANICAL SCIENCES, 2015, 6 (02) : 191 - 201
  • [9] Compensation of Trajectory Error for Industrial Robots by Interpolation and Calibration Method in the Joint Space
    Gao G.
    Zhang S.
    Na J.
    Liu F.
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2021, 57 (21): : 55 - 67
  • [10] A Computationally Efficient and Robust Kinematic Calibration Model for Industrial Robots with Kinematic Parallelogram
    Lin, Yang
    Zhao, Huan
    Ye, Congcong
    Ding, Han
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 1334 - 1339