  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.
