摘要
随着产业升级和产品迭代,越来越多的复杂零部件生产加工由工业机器人完成,对工业机器人产线的柔性程度要求也越来越高。在产品多变、工艺复杂的柔性制造系统中对工业机器人采用示教编程无疑会大大增加生产线的调试成本。因此,本文提出了一种基于进化算法的工业机器人自动路径规划方法,可以大大提升工业机器人轨迹编程的效率。
With industrial upgrading and product iteration,more and more complex component production and processing are being completed by industrial robots,and the demand for the flexibility of industrial robot production lines is also increasing.Using teaching programming for industrial robots in flexible manufacturing systems with diverse products and complex processes will undoubtedly greatly increase the debugging cost of production lines.Therefore,this article proposes an evolutionary algorithm based automatic path planning method for industrial robots,which can greatly improve the efficiency of trajectory programming for industrial robots.
作者
陈旸
CHEN Yang(School of Intelligent Manufacturing,Zhangzhou Institute of Technology,Zhangzhou 363000,China)
出处
《价值工程》
2023年第28期127-129,共3页
Value Engineering
基金
福建省自然科学基金项目“高速长寿命滚珠直线导轨自适应定向润滑机理研究”(项目编号:2023J01248)。
关键词
路径规划
进化算法
适应性函数
path planning
evolutionary algorithm
adaptability function
