基于深度学习的自动化装配线智能机器人优化控制方法分析
Analysis of Optimization Control Method for Automated Assembly Line Intelligent Robot Based on Deep Learning
王国安1
作者信息
- 1. 国网西藏电力有限公司林芝供电公司,西藏 860100
- 折叠
摘要
阐述一种基于人工智能的自动化装配线智能机器人优化控制方法,通过建立智能机器人的目标模型,设计一种基于深度学习的控制算法来训练机器人,探讨以装配线的效率和准确性作为优化目标,使用神经网络对机器人进行控制.实验结果表明,该方法可以显著提高装配线的工作效率和准确性.
Abstract
This paper describes an artificial intelligence based optimization control method for automated assembly line intelligent robots.By establishing a target model of the intelligent robot,a deep learning based control algorithm is designed to train the robot,and the efficiency and accuracy of the assembly line are explored as optimization objectives.Neural networks are used to control the robot.The experimental results show that this method can significantly improve the efficiency and accuracy of the assembly line.
关键词
智能机器人/自动化装配线/深度学习/控制算法Key words
intelligent robots/automated assembly lines/deep learning/control algorithms引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据