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Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 2023, Wuhan, China

Research Article

Research on the Reform of ROS Robot Programming Experiment Course for Applied Undergraduate Artificial Intelligence Majors

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  • @INPROCEEDINGS{10.4108/eai.8-9-2023.2340066,
        author={Qiming  Mai and Zihan  Yao and Jianwei  Li},
        title={Research on the Reform of ROS Robot Programming Experiment Course for Applied Undergraduate Artificial Intelligence Majors},
        proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICMEIM},
        year={2023},
        month={11},
        keywords={applied undergraduate; ros robot programming; counteracting exercise},
        doi={10.4108/eai.8-9-2023.2340066}
    }
    
  • Qiming Mai
    Zihan Yao
    Jianwei Li
    Year: 2023
    Research on the Reform of ROS Robot Programming Experiment Course for Applied Undergraduate Artificial Intelligence Majors
    ICMEIM
    EAI
    DOI: 10.4108/eai.8-9-2023.2340066
Qiming Mai1, Zihan Yao1, Jianwei Li1,*
  • 1: Guangzhou City University of Technology
*Contact email: lijw@gcu.edu.cn

Abstract

Through artificial intelligence-oriented teaching and scientific research exploration, remarkable results have been achieved in consolidating professional basic education, promoting disciplinary innovation, and cultivating high-quality application-oriented talents. This major is a multidisciplinary integration of software and hardware based on mathematics, information theory, and computer science. It has rich professional connotations, wide application fields, and rapid development. Artificial intelligence is a strategic technology leading a new round of technological revolution, industrial transformation, and social transformation, and is having a significant and far-reaching impact on economic development and social progress. This paper mainly adds adversarial elements to the traditional application-oriented undergraduate artificial intelligence major ROS-related course experiments. It makes students' experiments more challenging, and the students they cultivate are more able to adapt to challenging tasks. Possess the ability of effective communication, field integration, and teamwork, and the ability to explore, analyze, apply research results, and solve systematic engineering problems.

Keywords
applied undergraduate; ros robot programming; counteracting exercise
Published
2023-11-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.8-9-2023.2340066
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