CyberWire Daily AWS in Orbit: Automated Satellite Management. [T-Minus Space]
May 26, 2025
Dax Garner, CTO at Cognitive Space and aerospace engineer, joins Ed Meletyan, AWS Solutions Architect, to explore the future of satellite management. They discuss how automation and AI are revolutionizing satellite operations and optimizing Earth imaging tasks. The duo highlights the benefits of machine learning algorithms over traditional methods, enhancing operational efficiency. They also envision a future where cloud technology and collaboration with startups create a comprehensive space economy, making satellite management more efficient and scalable.
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Motivation Behind Joining Cognitive Space
- Dax Garner joined Cognitive Space driven by his desire to enable space infrastructure through AI and ML.
- He sees managing space assets via AI as critical groundwork for human spaceflight missions.
ML for Satellite Task Optimization
- Optimizing satellite task assignments is a challenging combinatorial problem with many options.
- Machine learning offers near-optimal solutions at speeds comparable to simple heuristics.
Dynamic Scheduling with ML
- Satellite mission schedules must adapt dynamically to hardware failures or task changes.
- Fast replanning using machine learning prevents mission drops due to unexpected events.