Zhuoqun Xu

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About

Zhuoqun Xu is at the forefront of a revolutionary intersection between artificial intelligence and micro-robotics, pioneering the use of large language models to control systems at the smallest scales. Their landmark 2025 work, "Training microrobots to swim by a large language model," has already garnered 6 citations, signaling a paradigm shift in how researchers approach the design and optimization of microscopic robotic swimmers. By demonstrating that LLMs can effectively direct the complex locomotion of microrobots, Xu has opened a new frontier in bio-inspired engineering and autonomous control. This breakthrough bridges the gap between high-level machine reasoning and the physical constraints of the micro-world, offering a powerful alternative to traditional algorithmic control. Xu’s research is not merely an incremental advance; it reimagines the very process of robotic learning and adaptation, showing that AI can intuitively solve fluid dynamics challenges that have long stymied conventional methods. As a rising leader in this nascent field, Xu’s work promises to accelerate the development of medical microrobots for targeted drug delivery and environmental remediation, making them smarter, more agile, and ultimately more useful in real-world applications.