A methodology for industrial robot calibration based on measurement sub-regions

被引:0
|
作者
Juan S. Toquica
José Maurício S. T. Motta
机构
[1] University of Brasilia,Department of Mechanical Engineering
来源
The International Journal of Advanced Manufacturing Technology | 2022年 / 119卷
关键词
Kinematic error parameters; Kinematic model validation; Measurement sub-regions; Robot accuracy; Robot calibration;
D O I
暂无
中图分类号
学科分类号
摘要
This paper proposes a methodology for calibration of industrial robots that uses a concept of measurement sub-regions, allowing low-cost solutions and easy implementation to meet the robot accuracy requirements in industrial applications. The solutions to increasing the accuracy of robots today have high-cost implementation, making calibration throughout the workplace in industry a difficult and unlikely task. Thus, reducing the time spent and the measured workspace volume of the robot end-effector are the main benefits of the implementation of the sub-region concept, ensuring sufficient flexibility in the measurement step of robot calibration procedures. The main contribution of this article is the proposal and discussion of a methodology to calibrate robots using several small measurement sub-regions and gathering the measurement data in a way equivalent to the measurements made in large volume regions, making feasible the use of high-precision measurement systems but limited to small volumes, such as vision-based measurement systems. The robot calibration procedures were simulated according to the literature, such that results from simulation are free from errors due to experimental setups as to isolate the benefits of the measurement proposal methodology. In addition, a method to validate the analytical off-line kinematic model of industrial robots is proposed using the nominal model of the robot supplier incorporated into its controller.
引用
收藏
页码:1199 / 1216
页数:17
相关论文
共 50 条
  • [41] A screw axis identification method for serial robot calibration based on the POE model
    Wang, Haixia
    Shen, Shuhan
    Lu, Xiao
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2012, 39 (02): : 146 - 153
  • [42] Calibration-based absolute localization of parts for multi-robot assembly
    Park, EJ
    Xu, WH
    Mills, JK
    ROBOTICA, 2002, 20 : 359 - 366
  • [43] A performance comparison of the full pose- and partial pose-based robot calibration for various types of robot manipulators
    Hoai-Nhan Nguyen
    Phu-Nguyen Le
    Kang, Hee-Jun
    ADVANCES IN MECHANICAL ENGINEERING, 2021, 13 (09)
  • [44] Calibration-Based Iterative Learning Control for Path Tracking of Industrial Robots
    Zhao, Yi Min
    Lin, Yu
    Xi, Fengfeng
    Guo, Shuai
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (05) : 2921 - 2929
  • [45] Position Calibration Method for Large size Industrial Robots Based on Random Forest
    Kato, D.
    Maeda, N.
    Hirogaki, T.
    Aoyama, E.
    Takahashi, K.
    2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021), 2021, : 607 - 612
  • [46] An efficient calibration method for serial industrial robots based on kinematics decomposition and equivalent systems
    Song, Yongbin
    Tian, Wenjie
    Tian, Yanling
    Liu, Xianping
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 84
  • [47] Precise Robot Calibration Method-Based 3-D Positioning and Posture Sensor
    Selami, Yassine
    Tao, Wei
    Lv, Na
    Zhao, Hui
    IEEE SENSORS JOURNAL, 2023, 23 (07) : 7741 - 7749
  • [48] A Calibration Optimization Method for a Welding Robot Laser Vision System Based on Generative Adversarial Network
    Zou, Yanbiao
    Chen, Jiaxin
    Wei, Xianzhong
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [49] Kinematic Calibration of a Space Manipulator Based on Visual Measurement System with Extended Kalman Filter
    Wang, Zhengpu
    Cao, Baoshi
    Xie, Zongwu
    Ma, Boyu
    Sun, Kui
    Liu, Yang
    MACHINES, 2023, 11 (03)
  • [50] Hand-Eye Calibration Method of Line Structured Light Vision Sensor Robot Based on Planar Target
    Wu Qinghua
    Qiu Jiefeng
    Li Zhiang
    Liu Jiacheng
    Wang Biao
    LASER & OPTOELECTRONICS PROGRESS, 2023, 60 (10)