Digital physics is the art and science of creating virtual environments that evolve according to physical laws of motion. This enables safe and controlled experiments with machines and solutions not yet created. Simulation is essential for developing AI-based perception and control that requiring large sets of (synthetic) training data.

The research group is devoted to the underlying computational science - how to achieve rich, faithful & fast digital physics. We also explore new ways of using digital physics that goes beyond traditional use of simulation, e.g., for developing machine perception and intelligence for systems operating in dynamic and unstructured environments.

We are specialized on discrete variational mechanics, multibody and multiphysical systems with nonsmooth dynamics, discrete elements, and tailoring of high-performance numerical methods and reduced order modelling for fast simulation - often realtime.

We have special interest in modeling and simulation of granular material, soil, heavy equipment, robots, material handling and processing systems found in construction, forestry and mining.