Our goal is to understand the principles of perception, action and learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems.

The Institute studies these principles in biological, computational, hybrid, and material systems ranging from nano to macro scales.



We take a highly interdisciplinary approach that combines mathematics, computation, material science, and biology.