摘要
为探讨机器人视觉系统在自动化装配中的应用,提出一种基于深度学习的目标识别与定位方法,并结合改进的RRT*路径规划算法与视觉伺服控制技术,实现高精度的自动化装配。结果显示,所提方法在装配成功率、时间效率及位置与姿态精度等方面均表现优异,验证了其在实际应用中的可行性和有效性。
This paper aims to explore the application of robot vision systems in automated assembly,propose a deep learning based object recognition and localization method,and combine an improved RRT*path planning algorithm with visual servo control technology to achieve high-precision automated assembly.The results show that the proposed method performs excellently in terms of assembly success rate,time efficiency,and position and attitude accuracy,verifying its feasibility and effectiveness in practical applications.
作者
田浩
张彩荣
TIAN Hao;ZHANG Cairong(Qingdao Haier Biological Medical Co.,Ltd.,Qingdao,Shandong 266000,China;Qingdao Qiushi Vocational and Technical College,Qingdao,Shandong 266000,China)
出处
《自动化应用》
2025年第6期6-8,共3页
Automation Application
