Researchers from the National University of Singapore have used a large language model (LLM), GPT-4, to train microrobots to swim in viscous fluids. Zhuoqun Xu and Lailai Zhu used a few-shot learning approach and a minimal unified prompt of five sentences to guide two distinct microrobots, the three-link swimmer and the three-sphere swimmer. The LLM-based decision-making strategy outperformed traditional reinforcement learning methods in training speed. The study highlights the potential of LLMs in deducing physical principles underlying robotic locomotion and designing locomotory gaits, particularly in microrobotic swimming.
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