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About

Pablo Pueyo is a researcher at the intersection of robotics, computer vision, and human-computer interaction, with a focus on making autonomous systems more creative and accessible. His most notable contribution is **CLIPSwarm**, a pioneering algorithm that uses vision-language models to generate drone show formations directly from text prompts. By enriching a single word into a detailed prompt and iteratively optimizing the drone swarm layout, Pueyo has opened the door for non-experts to choreograph complex aerial displays using natural language. This work has already garnered significant attention, with multiple citations in its first year. Pueyo also developed **CineTransfer**, an algorithmic framework that enables a robot to imitate the cinematographic style of a single example video, abstracting aesthetic features to replicate a director’s visual language in new scenes. Demonstrating a commitment to democratizing technology, he has explored the use of affordable platforms like the DJI Tello drone for research and education, showing that impactful work can be done without expensive hardware. Through these contributions, Pueyo is shaping a future where creative expression and advanced robotics are seamlessly intertwined.