For telecom and Earth observation constellations, manual station-keeping is a massive operational tax. Ground teams must calculate maneuvers for each satellite, upload commands, and verify execution, a process that scales poorly and risks human error. An autonomous workflow automates this by deploying collaborative agents on each satellite that fuse GPS, inter-satellite ranging, and celestial navigation data. These agents model orbital perturbations, negotiate fuel-efficient correction plans via cross-links, and execute maneuvers, turning a reactive, labor-intensive process into a closed-loop, fuel-optimized system. The result is a 70-90% reduction in ground operator workload and significant fuel savings across the fleet's lifetime.




