“新工科”背景下用于机械设计课程的双足教学机器人设计与研究  

Design and Research of Biped Teaching Robot for Mechanical Design Course under the Background of “New Engineering”

作　　者：郑默思[1] 张亮[1] ZHENG Mosi;ZHANG Liang(Wenzhou Polytechnic,Wenzhou Zhejiang 325000,China)

机构地区：[1]温州职业技术学院,浙江温州325000

出　　处：《自动化与仪器仪表》2023年第11期217-221,共5页Automation & Instrumentation

基　　金：市级项目《温州市课程思政教学示范课程》;省级项目《浙江省课程思政示范课程》。

摘　　要：随着新工科建设的深化,社会发展对一流人才的需求,迫使高等教育急需改革与创新。为改善机械设计课程教学效果,提升工程教育质量,研究设计了面向机械设计课程的双足教学机器人,首先引入零力矩点理论,对双足教学机器人步态进行了规划;随后提出了基于卷积神经网络的双足教学机器人图像分类,最后对其有效性进行了检验。结果显示,在该教学模式下,学生的机械设计课程专业成绩最高达到93分,相较于传统教学模式提升了约14分。这表明,该教学模式激发了学生对机械设计课程的学习兴趣,提高了学生的综合素质水平,改善了机械设计课程教学效果,有利于推动高等教育改革,为社会输送高质量人才。With the deepening of the construction of new engineering,the demand of social development for first-class talents forces higher education to be in urgent need of reform and innovation.In order to improve the teaching effect of mechanical design course and improve the quality of engineering education,a biped teaching robot for mechanical design course is studied and designed.Firstly,zero moment point theory is introduced to plan the gait of biped teaching robot;Then the image classification of biped teaching robot based on convolution neural network is proposed,and its effectiveness is tested.The result shows that under this teaching mode,the students' professional scores of mechanical design course reach 93 points,which is about 14 points higher than the traditional teaching mode.This shows that the teaching mode has stimulated the students' interest in learning the mechanical design course,improved the students' comprehensive quality level,improved the teaching effect of the mechanical design course,and is conducive to promoting the reform of higher education and providing high-quality talents for the society.

关 键 词：新工科 机械设计课程 双足机器人 教学 卷积神经网络 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]