The Swarm Intelligence Lab

Modeling, Dynamics & Controls

At the Swarm Intelligence Lab, we seek to uncover and engineer the principles that drive collective behavior in complex network systems, from schools of fish and animal groups to teams of collaborative robots. Our research lies at the intersection of dynamical systems theory, control, and data science, where we develop new mathematical frameworks and experimental platforms to bridge biology and engineering.

We investigate how local interactions give rise to global coordination, with applications spanning collective navigation, learning, and decision-making in natural systems, as well as distributed inference, estimation, and control in engineered networks. By integrating theory, computation, and experiments, our goal is not only to understand the emergence of collective intelligence but also to design robust, adaptive, and scalable solutions for the interconnected systems of tomorrow.

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