Current deep space missions rely on ground-based teams to manually schedule communication windows between orbiters and surface assets, a process that is slow, error-prone, and incapable of reacting to dynamic link conditions. This operational bottleneck directly limits daily science data volume, as valuable instrument time is wasted waiting for scheduled contacts. A custom, autonomous relay orchestration workflow replaces this manual process with network-aware agents that continuously evaluate visibility, link budget, and data priority to dynamically route traffic, maximizing bandwidth utilization and scientific throughput without ground intervention.




