Training microrobots to swim by a large language model

Machine learning and artificial intelligence have recently represented a popular paradigm for designing and optimizing robotic systems across various scales. Recent studies have showcased the innovative application of large language models (LLMs) in industrial control [1] and in directing legged walking robots [2]. In this study, we utilize an LLM, GPT-4, to train two prototypical microrobots for swimming in viscous fluids. Adopting a few-shot learning approach, we develop a minimal, unified prompt composed of only five sentences. The same concise …

application artificial artificial intelligence control cs.lg cs.ro designing gpt gpt-4 industrial industrial control intelligence language language model language models large language large language model large language models llm llms machine machine learning paradigm popular robotic robots studies study systems training walking