Firmly rooted in structural mechanics yet interdisciplinary, our group contributes to bridging mechanics, biology, and robotics. We develop advanced computational methods and high-fidelity simulation models to understand, predict, and control the behavior of soft and adaptive structures. These computational tools provide the foundation for a mechanics-driven design approach, where the geometry, actuation, and material properties are co-designed to create systems capable of intelligent motion and adaptation.

By combining physics-based modeling, optimization, and data-driven techniques, we establish computational frameworks for both the forward and inverse design of complex mechanical systems. This allows us to tailor mechanical behavior using tailored microstructures and programmable stiffness. Our aim is to develop a unified mechanical understanding that links the design, fabrication, and control of intelligent structures that interact safely and effectively with their environment.