{"title":"Thinking and Exploration of Intelligent Machining Robot Technology in New Engineering Course Teaching","authors":"Li Dai, Liu Yu, Jie Chen","doi":"10.2991/mmetss-19.2019.37","DOIUrl":null,"url":null,"abstract":"In order to build our country into a powerful manufacturing country, we need to constantly cultivate high-level scientific and technological talents. With the advent of the era of artificial intelligence, manufacturing industry has also ushered in intelligent processing and manufacturing technology. Intelligent processing robot technology is introduced into undergraduate teaching. Based on the existing 6-axis industrial robot experimental platform in the laboratory, intelligent control theories such as genetic algorithm and neural network are applied to robot trajectory planning and automatic control. Combining the theoretical knowledge of intelligent control technology with simulation and experiment can not only enhance the students' ability to operate, but also deepen theoretical learning. It also meets the needs of new engineering course teaching and cultivates more innovative and practical talents for the country.","PeriodicalId":363311,"journal":{"name":"Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/mmetss-19.2019.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to build our country into a powerful manufacturing country, we need to constantly cultivate high-level scientific and technological talents. With the advent of the era of artificial intelligence, manufacturing industry has also ushered in intelligent processing and manufacturing technology. Intelligent processing robot technology is introduced into undergraduate teaching. Based on the existing 6-axis industrial robot experimental platform in the laboratory, intelligent control theories such as genetic algorithm and neural network are applied to robot trajectory planning and automatic control. Combining the theoretical knowledge of intelligent control technology with simulation and experiment can not only enhance the students' ability to operate, but also deepen theoretical learning. It also meets the needs of new engineering course teaching and cultivates more innovative and practical talents for the country.