Control of multi-robotic systems

Spatially distributed multi-agent networks have been used successfully to model a wide range of natural, social and engineered complex systems, such as animal groups, online communities and electric power grids. In various contexts, it is crucial to introduce control actions into such networks to either achieve desired collective dynamics or test the understanding of the systems’ behavior. However, controlling such systems is challenging due to the complicated interaction patterns among the agents that are constrained by spatial regulations. Systematic methodologies to attack this challenge are in urgent need, especially when vast efforts are being made in multiple disciplines to apply the model of complex multi-agent networks.