We propose an approach to multi-robot coverage that combines aspects of centralized and decentralized control, based on the existing ‘mergeable nervous systems’ concept. In our approach, robots self-organize a dynamic ad-hoc communication network for distributed asymmetric control, enabling a degree of central coordination. In the coverage task, simulated ground robots coordinate with UAVs to explore an arena as uniformly as possible. Compared to strictly centralized and decentralized approaches, we test our approach in terms of coverage percentage, coverage uniformity, scalability, and fault tolerance.
|Title of host publication||Swarm Intelligence|
|Publication status||Published - 2020|