Mauro Birattari received his Master's degree in Electrical and Electronic Engineering from the Politecnico di Milano, Italy, in 1997, and his doctoral degree in Information Technologies from the faculty of Engineering of the Université Libre de Bruxelles, Belgium, in 2004. Since 1997, he works as an academic researcher in the field ofq computational intelligence. He is currently with IRIDIA, Université Libre de Bruxelles, Belgium, as a Senior Research Associate of the fund for scientific research F.R.S.–FNRS of Belgium's Wallonia-Brussels Federation. Mauro Birattari is the recipient of an ERC Consolidator Grant for the project "DEMIURGE: automatic design of robot swarms". He is an associate editor for Swarm Intelligence and for Frontiers in Robotics and AI: Multi-Robot Systems, and an academic editor for PeerJ Computer Science. Since 2002, he is a member of the organizing committee of the series of conferences ANTS.
Automatic design is a promising approach to the design of control software for robot swarms. In an automatic design method, the design problem is cast into an optimization problem and is addressed using an optimization algorithm. Most of the research devoted so far to the automatic design of robot swarms is based on evolutionary robotics: robots are controlled by neural networks that are obtained via artificial evolution. In my presentation, I discuss a novel approach that combines preexisting behavioral modules and fine-tunes their parameters.