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.

大型语言模型和多模态大型语言模型最近已经在人工智能领域引起了革命。在这个背景下，机器人编码教育受到了越来越多的关注。本文探讨了机器人编码教育中的一个重要趋势，并测试了几种主流的大型语言模型在传统编码任务和更具挑战性的机器人代码生成任务中的表现。我们的结果表明，GPT-4V 在所有的测试中表现优于其他模型，但在生成块图像方面遇到了困难。