When people think of drone logistics, the first things that often come to mind are payload capacity, endurance, and flight range. The capability of an individual drone is certainly important. But once a single route expands into dozens of routes and hundreds of drones are operating at the same time, the challenge quickly shifts from "getting one drone into the air" to "keeping an entire fleet operating continuously and in an orderly manner."

Which drone should execute each task? Which route should it take? How should takeoffs and landings be staggered? When should a drone return for recharging or battery replacement? And if a failure occurs, which unit should take over? All of these decisions require unified system-level coordination.

The scalability of drone logistics therefore depends on whether swarm scheduling, airspace management, and ground infrastructure can work together. Single-drone performance determines how far one aircraft can fly; system capability determines whether an entire fleet can operate reliably over the long term.

01

Four Controllable Scenarios Are Likely to Be Deployed First

At the current stage, drone logistics is best introduced in scenarios with fixed routes, relatively independent airspace, and clearly defined operating rules. These environments make it easier to define flight boundaries and build takeoff and landing sites, communication links, and maintenance facilities, making them suitable for routine operations by small- and medium-sized fleets.

Closed-Loop Logistics in Industrial Parks

Transport nodes within an industrial park are relatively fixed, allowing dedicated routes to be planned between factories, warehouses, and office areas. Parts, samples, documents, and other items can be assigned to different drones according to task priority, while scheduled takeoffs and landings can reduce congestion at operating sites.

Regional Medical Emergency Transport

Blood, medicines, and emergency supplies are generally compact but highly time-sensitive. Between designated hospitals, community health centers, and emergency stations, priority-based scheduling can ensure that urgent missions are handled first, while additional aircraft can be temporarily deployed during periods of concentrated demand.

Supplies for Mountainous and Remote Areas

In mountainous regions with limited road access, ground transportation can be slow and costly to organize. Drones can deliver daily necessities, firefighting equipment, and other supplies to designated locations. However, the system must still allocate missions according to wind conditions, communication coverage, takeoff and landing conditions, and remaining battery capacity.

Delivery to Nearshore Islands

Island routes are relatively fixed and usually contain fewer obstacles, making them suitable for scheduled deliveries. In actual operations, particular attention must be paid to long-range communications, changing marine weather, energy management, and the placement of alternate landing sites.

These scenarios share several characteristics: their operating boundaries are clearly defined, their tasks can be standardized, and their risks are easier to control. By contrast, high-density delivery in open urban areas requires more mature airspace rules, a broader takeoff and landing network, and stronger cross-regional scheduling capabilities.

02

Three Capabilities Required for Large-Scale Operations

As a fleet expands, endurance, weather, and communications remain important, but they can no longer be treated as isolated issues. The system must manage airborne missions, low-altitude routes, and ground operations at the same time. A weakness in any one area may disrupt the entire delivery chain.

Coordinated Swarm Scheduling

• Task assignment: Match each drone with an appropriate mission according to aircraft type, payload, battery level, current location, and order priority.

• Conflict avoidance: Continuously calculate separation between aircraft and identify route intersections, then coordinate route adjustments when buildings, birds, or temporary obstacles appear.

• Link management: Monitor concurrent multi-drone communications, detect latency, packet loss, and offline devices in time, and prevent localized faults from spreading.

• Dynamic reconfiguration: When a drone has insufficient battery power or suffers a fault, divide and reassign its mission and dispatch a standby aircraft to take over.

Low-Altitude Airspace Coordination

• Layered routes: Define traffic corridors according to altitude, direction, and mission type to reduce route conflicts between different fleets.

• Dynamic adjustment: When strong winds, rainfall, major events, or temporary restrictions occur, suspend affected routes promptly and replan missions.

• Data logging: Record takeoff and landing information, flight trajectories, and mission status for every drone, providing a basis for operational management and regulatory compliance.

Ground Infrastructure

• Takeoff, landing, and handover: Arrange takeoff and landing sites, cargo storage areas, and delivery nodes to support time-separated multi-drone operations and standardized cargo handover.

• Energy replenishment and maintenance: Maintain continuous operations through charging, battery swapping, and fleet rotation, while addressing equipment maintenance needs in a timely manner.

• Emergency support: Plan alternate landing sites and abnormal-event procedures in advance so that a drone can land nearby if a fault occurs, reducing operational risk.

03

How a Drone Swarm Logistics Mission Operates

A standardized drone swarm logistics mission generally includes eight stages: order generation, task assignment, route planning, formation self-check and takeoff, coordinated airborne obstacle avoidance, delivery to designated locations, return and energy replenishment, and flight-data upload and archiving.

The ground scheduling platform must continuously track order status, fleet positions, remaining battery levels, communication quality, and site occupancy, and adjust missions according to changing conditions. In clearly defined scenarios, this process can reduce repetitive manual work. When an abnormal situation occurs, however, human confirmation and safety-response mechanisms must still be retained.

A swarm system should therefore not be evaluated solely by whether multiple drones can take off at the same time. It must also be assessed on whether missions can be issued continuously, routes can be adjusted dynamically, faults can be detected, and return flights, energy replenishment, and data archiving can be connected smoothly.

The ground-based swarm scheduling platform serves as the central controller for the entire workflow. In real-world deployment, however, it must be supported by an integrated hardware and software system that can be verified, further developed, and transferred from simulation to physical aircraft. AMOVLAB's drone swarm formation solution is supplied as a complete package consisting of drones, positioning modules, communication modules, flight controllers, onboard computers, and swarm control software. Built on the open-source ROS and PX4 platforms, and integrating the Prometheus swarm-control submodule with Prometheus Ground Station Pro, the solution supports indoor motion-capture positioning, indoor and outdoor UWB positioning, and outdoor RTK positioning. It can perform straight-line, triangular, rectangular, circular, and circular-orbit formations, as well as formation transitions. It also supports leader-follower control, autonomous task assignment, position correction, status monitoring, and safety protection.

04

Start with Fixed Routes, Then Expand into Open Airspace

Under current conditions, closed-loop transport in industrial parks, point-to-point medical delivery, and supply missions in mountainous areas and on islands are better suited as early applications of drone swarm logistics. Their routes and missions are relatively fixed, allowing scheduling, communications, energy replenishment, and safety mechanisms to be validated gradually within a limited operating area.

Delivery in open urban areas is far more complex. In dense high-rise environments, operations require broader coverage of takeoff and landing sites, more reliable communication networks, more precise airspace approval, and the ability to continuously schedule fleets containing hundreds of drones. Until the necessary infrastructure and regulatory systems are mature, large-scale citywide delivery will need to advance in stages.

Drones are the execution layer of logistics missions. What ultimately determines the scale and stability of operations is whether the scheduling system, airspace rules, ground stations, and operations and maintenance framework can function as one coordinated whole.