Our Mission

To demonstrate how spacecraft can leverage environmental randomness to execute evolutionary, learning-based algorithms in orbit while improving performance and reducing energy consumption.

What We Do

• Develop and validate small satellite technology
• Design and build an evolutionary computing payload
• Execute Genetic Algorithms that leverage radiation-induced variability within memory hardware
• Measure how radiation-driven mutation impacts adaptive performance in orbit
• Train engineers through hands-on mission development

Why it Matters

Most spacecraft rely on fixed, prewritten software designed to minimize environmental uncertainty, often requiring continuous error detection and correction to maintain reliability. DoomSat applies a different approach: using the space radiation environment as a computational resource.

By leveraging radiation-induced variability as a natural source of mutation, Genetic Algorithms reduce reliance on energy-intensive correction processes while continuing to improve performance over time.

This approach enables more energy-efficient onboard computing so spacecraft can adapt, optimize, and operate by incorporating the environment itself into the system, which has implications for long-duration and deep space missions where power is limited, and autonomous adaptation is critical.

DoomSat is currently in the design and build phase.
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Submissions are sent directly to our team.

The Alabama CubeSat Initiative supports the DoomSat mission by providing workforce development opportunities to university students throughout Alabama.