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Advancing Robotics Education: Integrating Large Language Models for Natural Language Programming in VET

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Intelligent Data Engineering and Automated Learning – IDEAL 2024 (IDEAL 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15347))

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Abstract

This paper presents an educational activity developed within the AIM@VET project, aimed at integrating Large Language Models (LLMs) into Vocational Education and Training (VET) for programming robots using natural language. The curriculum covers key AI topics such as Human-Robot Interaction (HRI), natural language processing, and the use of advanced models like ChatGPT. Students engage in activities from basic command interpretation to advanced voice-controlled interactions, gaining practical experience with LLMs in robotics. Evaluations showed significant improvements in understanding and engagement, highlighting the effectiveness of LLMs in enhancing robotics education for VET students.

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References

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Acknowledgments

This work was partially funded by the Erasmus+ Programme of the European Union through grant number 2022-1-ES01-KA220-VET-000089813.

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Authors and Affiliations

  1. Integrated Group for Engineering Research, Universidade da Coruña, A Coruña, Spain

    Abraham Prieto, Alejandro Romero & Francisco Bellas

Authors
  1. Abraham Prieto
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  2. Alejandro Romero
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  3. Francisco Bellas
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Corresponding author

Correspondence to Abraham Prieto .

Editor information

Editors and Affiliations

  1. Technical University of Valencia, Valencia, Valencia, Spain

    Vicente Julian

  2. Technical University of Madrid, Madrid, Spain

    David Camacho

  3. The University of Manchester, Manchester, UK

    Hujun Yin

  4. Universitat Politècnica de València, Valencia, Valencia, Spain

    Juan M. Alberola

  5. University of Evora, Evora, Portugal

    Vitor Beires Nogueira

  6. Universidade do Minho, Braga, Portugal

    Paulo Novais

  7. University of Huelva, Huelva, Spain

    Antonio Tallón-Ballesteros

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Prieto, A., Romero, A., Bellas, F. (2025). Advancing Robotics Education: Integrating Large Language Models for Natural Language Programming in VET. In: Julian, V., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2024. IDEAL 2024. Lecture Notes in Computer Science, vol 15347. Springer, Cham. https://doi.org/10.1007/978-3-031-77738-7_44

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  • DOI: https://doi.org/10.1007/978-3-031-77738-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-77737-0

  • Online ISBN: 978-3-031-77738-7

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