基于机器视觉的工业机器人分拣实验平台设计

Design of Industrial Robot Sorting Experiment Teaching Platform Based on Machine Vision

为提高机械电子等专业学生的实训质量,设计了基于机器视觉的工业机器人分拣实验平台。平台包括上位机、机器视觉、机器人和气动系统共4个子系统,涉及图像目标识别与定位、图像坐标系与机器人坐标系的转换、吸盘控制系统设计等关键技术,并设计了6组创新型实训项目。通过该实验平台,学生可以进行图像采集与处理、机器人控制以及上位机软件开发等多方面的学习。在近三届共30人的学生中进行的教学实验证明,该实训系统对培养学生的学习兴趣、创新能力和实践能力具有重要作用。

In order to improve the practical training quality of students majoring in mechanical and electronics,an industrial robot sorting experiment platform was designed based on machine vision.The platform consists of four subsystems,including computer system,machine vision,robot and pneumatic system,which involve key technologies such as image target recognition and positioning,transformation of image coordinate system and robot coordinate system,and design of sucker control system.Six groups of innovative training projects are also designed.Through this experimental platform,students can learn image acquisition and processing,robot operation and upper computer software development.The teaching experiments with 30 students have attended in the last three sessions have proved that the practical training system plays an important role in cultivating students'learning interest,innovation ability and practical ability.