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AstroForge is pioneering a shift from traditional control algorithms to an in-house, transformer-based AI model for autonomous asteroid mining missions. This approach aims to solve critical latency and communication window issues inherent in deep space operations where real-time Earth intervention is impossible. The move represents a significant test of whether neural networks can reliably manage complex spacecraft positioning and anomaly recovery without human oversight.

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AstroForge is putting AI in command of its next spacecraft

TechCrunchSeptember 22, 20264 min read

Autonomy-1 will have a small, transformer-based AI model taking charge of a space probe.

Fly to an asteroid, land on it, make no mistakes: If only it were that easy. When NASA sends spacecraft to explore the solar system, they build in redundancy and automation. But much of the work is done by teams of flight controllers communicating with the vehicle from Earth. The OSIRIS-REx mission, which rendezvoused with an asteroid in 2018, had 100 operators on each eight-hour shift. But resources like that aren’t available to startups,…

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