面向智能折弯的机器人数字孪生平台实验教学探索
Experimental Teaching of Robot for Intelligent Bending Based on Digital Twin
丁大伟 1丁洁 1赵勃 1徐丰羽1
作者信息
- 1. 南京邮电大学 自动化学院 人工智能学院,江苏 南京 210023
- 折叠
摘要
为提升学生对机器人课程知识的综合应用能力,提高教学过程中学生的参与度和能动性,设计了基于数字孪生技术的机器人智能折弯的实验教学方案.该方案结合"机器人学"和"钣金成型技术"专业知识,基于折弯路径规划等理论设计了包含规划算法分析、钣金折弯加工实验与虚拟环境仿真等内容的综合性实验.分别针对机器人路径规划中不同算法的理论知识进行原理教学,随后在所搭建的数字孪生虚拟仿真平台上进行实践探索.相比于纯理论教学,这种理论与实验相结合的教学法,可将知识点理解率提升30％,极大程度拓展了数字孪生技术教学的深度和广度,可帮助学生更深入地理解教学理论知识.
Abstract
To enhance students'comprehensive application ability of robot knowledge and their participation and initiative in the teaching process,the paper designs the experimental teaching schedule for robot-assisted intelligent bending based on digital twin.This schedule combines the professional knowledge related to robotics and sheet metal forming technology,designs the comprehensive experiment that combines bending path planning,planning algorithms,sheet metal bending processing and virtual environment simulation and conducts the separate teaching in accordance with different algorithms in robot path planning before the practical teaching on the constructed digital twin virtual simulation platform is carried out.Compared with the pure theory teaching,this method can increase the understanding rate of knowledge points by 30％,expand the teaching depth and breadth of digital twin technology to a large extent and help students understand the theoretical knowledge.
关键词
数字孪生/机器人/智能折弯/实验教学Key words
digital twin/robot/intelligent bending/experimental teaching引用本文复制引用
基金项目
教育部一流专业建设项目(教高厅函[2019]46号)
南京邮电大学教学改革研究项目(JG00523JX91)
江苏省高等教育教学改革研究项目(2023JSJG445)
出版年
2024
NETL
NSTL
万方数据