Coordinating a swarm of small satellites or drones for synthetic aperture radar or distributed sensing presents a critical operational bottleneck. Manual, ground-in-the-loop control is impossible with light-speed delays, and centralized command creates a single point of failure. The business imperative is clear: autonomous swarm logic reduces mission risk, increases scientific data throughput, and lowers operational overhead by orders of magnitude. This requires a custom architecture of distributed agents performing consensus-based navigation and task allocation in real-time.




