He is interested in understanding and building intelligent systems that can interact with the real world, taking the best decisions under uncertainty. Based on probabilistic graphical models and decision theory, He is extending and applying these representations to mobile robotics, computer vision, energy and bio-medicine.
His current research areas are Video surveillance, Energy applications, Service robots, among others.