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

被引：0
|
作者：
Prieto, Abraham [1 ]
Romero, Alejandro [1 ]
Bellas, Francisco [1 ]
机构：
[1] Univ A Coruna, Integrated Grp Engn Res, La Coruna, Spain
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2024, PT II | 2025年 / 15347卷
关键词：
Large Language Models; Vocational Education; Robotics; Human-Robot Interaction; Natural Language Programming;
D O I：
10.1007/978-3-031-77738-7_44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：517 / 528
页数：12
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