基于FPN算法的工业机器人抓取过程自动控制方法  

Automatic Control Method for Industrial Robot Grasping Process Based on FPN Algorithm

作　　者：杨艳 YANG Yan(Qingdao Technicians College,Qingdao,Shandong 266109,China)

机构地区：[1]青岛市技师学院,山东青岛266109

出　　处：《自动化应用》2025年第6期61-63,共3页Automation Application

摘　　要：为辅助工业机器人快速、准确地识别并抓取目标物体,设计了基于FPN算法的抓取过程自动控制方法。首先,利用FPN算法采集目标物体图像,并对目标物体作出检测与识别;然后,确定目标物体抓取点,规划工业机器人的抓取姿态;最后,执行抓取动作并对其抓取过程进行出力控制,实现最佳的抓取效果。结果表明,该方法应用后,工业机器人抓取成功率显著提升,平均可达98%以上,能够更准确地指挥机器人完成抓取任务。To assist industrial robots in quickly and accurately identifying and grasping target objects,an automatic control method for grasping process based on FPN algorithm was designed.Firstly,the FPN algorithm is used to collect images of the target object and detect and recognize it.Then,determine the target object grasping point and plan the grasping posture of the industrial robot.Finally,perform the grasping action and control the force during the grasping process to achieve the best grasping effect.The results show that after the application of this method,the success rate of industrial robot grasping has been significantly improved,with an average of over 98%,which can more accurately command the robot to complete grasping tasks.

关 键 词：FPN算法 工业机器人 抓取控制 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]