计算机集成制造系统 ›› 2024, Vol. 30 ›› Issue (5): 1710-1718.DOI: 10.13196/j.cims.2023.0234

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基于手持示教笔的工业机器人轨迹演示示教方法

许茂震,陈成军+,潘勇,李东年   

  1. 青岛理工大学机械与汽车工程学院
  • 出版日期:2024-05-31 发布日期:2024-06-12
  • 作者简介:许茂震(1999-),男,山东临沂人,硕士研究生,研究方向:机器人示教,E-mail:2178505891@qq.com; +陈成军(1979-),男,山东临沂人,教授,博士,博士生导师,研究方向:机器人可视化遥操作及自主控制、AR装配诱导、基于深度学习的装配监测,通讯作者,E-mail:chencj@qut.edu.cn; 潘勇(1996-),男,山东临沂人,博士研究生,研究方向:机器人演示示教,E-mail:yongp715@gmail.com; 李东年(1987-),男,山东东营人,副教授,博士,研究方向:机器视觉、计算机图形学,E-mail:dongnianli@qut.edu.cn。
  • 通讯作者简介:陈成军(1979-),男,山东临沂人,教授,博士,博士生导师,研究方向:机器人可视化遥操作及自主控制、AR装配诱导、基于深度学习的装配监测,通讯作者,E-mail:chencj@qut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52175471);山东省自然科学基金资助项目(ZR2021MF110)。

Trajectory demonstration and teaching method of industrial robot based on hand-held teaching pen

XU Maozhen,CHEN Chengjun+,PAN Yong,LI Dongnian   

  1. School of Mechanical and Automotive Engineering,Qingdao University of Technology
  • Online:2024-05-31 Published:2024-06-12
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.52175471),and the Natural Science Foundation of Shandong Province,China(No.ZR2021MF110).

摘要: 针对工业机器人传统示教方式存在示教交互性差和编程效率低、学习成本高等问题,提出一种基于手持示教笔的工业机器人轨迹演示示教方法。该方法首先通过手眼标定建立位姿追踪系统坐标系与机器人基坐标系之间的转换矩阵,提出基于迭代最近点(ICP)的标定精度优化方法,以提高手眼标定精度。然后,使用位姿追踪系统追踪手持示教笔的位置和姿态,并将其位置和姿态转换到机器人基坐标系下,通过以太网传输给工业机器人控制柜,从而控制工业机器人复现手持示教笔的轨迹。搭建了机器人示教平台,进行了工业机器人轨迹演示示教实验。实验结果表明,利用手持示教笔得到的位姿数据平均误差为2.19 mm,最大误差为4.57 mm,能够满足工业机器人示教需求。

关键词: 工业机器人, 轨迹示教, 机器人手眼标定, 手持示教笔

Abstract: Aiming at the problems of poor interaction,low programming efficiency and high learning cost in the traditional teaching method of industrial robots,a new method of track demonstration and teaching of industrial robots based on hand-held teaching pen was proposed.The transformation matrix between the coordinate system and the robot base coordinate system was established by hand-eye calibration,and the calibration accuracy optimization method based on Iterative Closest Point (ICP) was proposed to improve the hand-eye calibration accuracy.Then,the pose tracking system was used to track the position and attitude of the hand-held teaching pen,and its position and attitude were transferred to the robot base coordinate system and transmitted to the industrial robot control cabinet through Ethernet,so as to control the industrial robot to reproduce the track of the hand-held teaching pen.In this paper,the robot teaching platform was built,and the industrial robot trajectory demonstration and teaching experiment was carried out.The experimental results showed that the average error and maximum error of the pose data obtained by the hand-held teaching pen were 2.19mm and 4.57mm,which could meet the teaching requirements of industrial robots.

Key words: industrial robot, trajectory teaching, robot hand-eye calibration, hand-held teaching pen

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