Coordinating Mixed Robot Fleets Through Task Scheduling and Failure Recovery

Autonomous robots, drones, and vehicles can each complete tasks alone, but running them together as a fleet creates coordination challenges. Individual platforms may conflict over shared routes, resources, or handovers even when each navigates well on its own. A fleet-level coordination layer addresses this by assigning missions based on capability and availability, tracking task progress, and managing dependencies between platforms. Task records should capture requirements, status, and dependencies so that assigned, started, completed, and verified states are clearly distinguished. The approach also uses time-bounded resource reservations to prevent route conflicts and deadlocks at shared spaces such as corridors and charging stations.