摘要
针对传统机械臂视觉系统标定方法存在标定误差大、精度低以及标定过程复杂的问题,提出一种面向数字孪生的手眼标定方法,通过分析标定原理给出标定方法以及搭建机械臂孪生虚拟平台,实现虚实空间的数据交互。结果表明:提出的手眼标定方法具有抓取精度高、抓取性能良好的优势。
Aiming at the problems of large calibration error,low accuracy and complex calibration process in traditional robotic arm vision system calibration method,a hand-eye calibration method for digital twin was proposed.By analyzing the calibration principle,the calibration method was given and a twin virtual platform for robotic arm was built to realize data interaction in virtual and real space.The results show that:the proposed hand-eye calibration method has the advantages of high grasping precision and good grasping performance.
作者
乔峰丽
苗鸿宾
纪慧君
张伟
苏赫朋
QIAO Fengli;MIAO Hongbin;JI Huijun;ZHANG Wei;SU Hepeng(School of Mechanical Engineering,North University of China,Taiyuan Shanxi 030051,China;Shanxi Province Deep Hole Machining Center,Taiyuan Shanxi 030199,China)
出处
《机床与液压》
北大核心
2023年第1期31-35,共5页
Machine Tool & Hydraulics
基金
中央引导地方科技发展专项资金项目(YDZX20191400002765)
山西重点研发计划项目(201903D421006)。
关键词
手眼标定
数据交互
数字孪生
Hand-eye calibration
Data interaction
Digital twin