Bio-inspired agent-based system for cooperative decision-making and control of unmanned aerial vehicles
C Lee, Bruce D. Moulton, Zenon Chaczko · UTS ePRESS (University of Technology Sydney) · 2009
The control of large fleets of unmanned aerial vehicles has been a topic of considerable interest in recent years. The problem is extremely complex, and becomes more difficult as the number of unmanned aerial vehicles (UAVs) increases. Several approaches for addressing the problem draw from biologically inspired computational methods. This work, which stems from an engineering student's final year thesis project, considers the viability of a pheromone trail based approach in a multi-agent system. The system was developed employing the Prometheus methodology using MaSE and JADE, and treats each UAV as a semi-autonomous agent. Preliminary trials suggest that the approach may have potential for enabling the desired system behaviour.