摘要
为了解决现在智能制造领域工业机器人控制和视觉应用人才缺乏,高校教学体系过多的偏向理论教学,课程设置与企业实际工程应用锲合度不高的现状;以Dobot Magician桌面机器人为实验装置,综合机器人控制软件DobotStudio、视觉数据采集软件MVS和视觉分析及控制机器人软件DobotVisionStudio,设计理实一体化的机器人课程模式;了解机器人的结构及坐标、学习机器人示教编程,采用图片式可视化操作界面进行机器人视觉案例分析,带领学生根据工程应用实例构建视觉应用方案;引导学生通过机器人示教编程和视觉案例巩固机器人理论知识、加深学生对智能制造工程应用的了解、培养出企业真实需求的机器人。
In order to solve the lack of talents in industrial robot control and vision application in the field of intelligent manufacturing,the teaching system of colleges and universities is too much inclined to theoretical teaching,and the curricula do not have a high degree of perseverance with the actual engineering application of enterprises;using Dobot Magician desktop robot as the experimental device,integrated robot control software DobotStudio,vision data acquisition software MVS,and robot control software DobotStudio.With Dobot Magician desktop robot as the experimental device,integrated robot control sofware DobotStudio,vision data acquisition software MVS and vision analysis and control robot software DobotVisionStudio,we design the integrated robotics course model;we understand the structure and coordinates of the robot,learn the robot demonstration and teaching programming,and use the picture-based visual operation interface to carry out the robot vision case study,and lead the students to construct the vision application scheme based on the engineering application examples;we guide the students to build the robot vision application scheme through the robot demonstration and teaching programming.The students are guided to consolidate the theoretical knowledge of robotics through robot demonstration programming and visual case study,deepen their understanding of intelligent manufacturing engineering applications,and cultivate robotics talents with real needs of enterprises.
作者
廖志青
段海峰
卢健能
Liao Zhiqing;Duan Haifeng;Lu Jianneng(School of Mechanical Engineering,Guangzhou City Polytechnic,Guangzhou Guangdong 510800,China)
出处
《机械管理开发》
2023年第11期80-82,122,共4页
Mechanical Management and Development
基金
2022年度广东省教育科学规划课题(高等教育专项)(2022GXJK388)
广州城市理工学院质量工程建设项目(52-JY210304)。
关键词
机器人
视觉
理实一体化
智能制造
教学
robotics
vision
integration of science and practice
intelligent manufacturing
teaching