结合机器视觉技术与工业机器人技术,对动态抓取策略进行研究,实现了传送带上目标的动态抓取,提出了传送带速度控制的策略,保证效率的同时降低了漏抓率;然后在传送带速度控制策略的基础上,计算了传送带上目标物体的位置;最后分析了现有传送带PID跟踪的利弊,并提出了基于位置预测的传送带上物体拦截式抓取方法;在理论分析的基础上,搭建了基于机器视觉的锯条自动化包装系统,并通过抓取对比实验验证了理论分析的有效性。
Using machine vision technology and industrial robot technology, the robot target tracking and dynamic grabbing strategy re- search of the conveyor operation system was carried out. Put forward the strategy of the conveyor belt speed control, the establishment of a robot to grab target position prediction model to ensure efficiency while reducing leakage catch rate. Through analyzing the conveyor tracking PID control law and giving the robot interception type grab method based on position prediction. A blade automatic grab system platform was built based on machine vision and comparative analysis of the experimental robot target grab was carried out. The dynamic grabbing of the robot target of the conveyor belt operating system is realized, which effectively verifies the feasibility and effectiveness of the method.