Robot Motor Intelligence (RoMI) Lab

In our group, we focus on creating motor intelligence in legged robots. Our aim is to find computational principles that describe what we call the motor function. Such function should have a conceptual structure, and not only a universal approximator. With this, our robots could
 1. consider rich sensory data,
 2. create multi-contact policies,
 3. identify unmodeled dynamics and environments, among others.
To achieve so, we study a range of different disciplines: numerical optimization, model predictive control, deep learning, robot design, and perception. Our research agenda is devoted to enable agile locomotion and manipulation in robots with legs and arms.