Large language models and multimodal large language models have revolutionized artificial intelligence recently. An increasing number of regions are now embracing these advanced technologies. Within this context, robot coding education is garnering increasing attention. To teach young children how to code and compete in robot challenges, large language models are being utilized for robot code explanation, generation, and modification. In this paper, we highlight an important trend in robot coding education. We test several mainstream large language models on both traditional coding tasks and the more challenging task of robot code generation, which includes block diagrams. Our results show that GPT-4V outperforms other models in all of our tests but struggles with generating block diagram images.

翻译：大语言模型和多模态大语言模型近年来彻底变革了人工智能领域。越来越多的地区正积极拥抱这些先进技术。在此背景下，机器人编程教育日益受到关注。为教导儿童编写代码并参与机器人挑战赛，大语言模型被用于机器人代码的解释、生成与修改。本文聚焦机器人编程教育中这一重要趋势，针对传统编程任务以及包含框图生成的更具挑战性的机器人代码生成任务，对多款主流大语言模型进行了测试。结果表明，GPT-4V在所有测试中均表现最优，但在生成框图图像方面仍存在困难。