Ricerc@Sapienza

Systems of interacting autonomous agents are commonly used for the execution of cooperative tasks. The use of multiple platforms allows for the enhancement of operations performance, robustness and safety. To this end, a key aspect is provided by the inherent redundancy of multi-agent systems.
The project aims at extending the classical control allocation architecture to multi-agent systems, and the main goal is to design a modular optimization policy based on the active exploitation of the different layers of redundancy, i.e. both at input level and at agent level.