Earlier this year, a small spacecraft successfully demonstrated edge autonomy, marking a significant milestone in space operations. This demonstration showcased the satellite's capability to independently analyze data and make decisions without intervention from ground control. The project was a collaboration between NOVI and Sedaro.
NOVI, a specialist in edge computing systems utilizing AI and machine learning for satellite intelligence, developed the spacecraft for a U.S. government client. The satellite was launched aboard SpaceX's Transporter-12 mission on January 14 and completed its demonstration activities in February.
The spacecraft's onboard computer employed Sedaro's mission and system simulation software, acting as a digital twin, to enable autonomous operations. This software allowed the satellite to autonomously execute tasks based on its environment and current status. Sedaro's development of this technology was supported by a SpaceWERX Small Business Innovation Research grant, with the Air Force's AFWERX organization showing interest in its potential military satellite applications.
This technology enables satellites to autonomously adjust their orbits, manage power consumption, and optimize communication links using sensor data. In military applications, self-aware satellites could detect and respond to tracking or targeting attempts. Autonomous satellites, powered by AI and edge computing, are seen as crucial for automating space operations and enhancing their efficiency.
Sebastian Welsh, CTO of Sedaro, highlighted the importance of satellite edge autonomy for both commercial success and strategic advantages in space. Robbie Robertson, CEO of Sedaro, announced that the software supporting the demonstration, named "Sedaro Autonomy Framework for the Edge," will be released as open-source software to encourage wider adoption. NOVI's objective is to establish an AI processing infrastructure in space using cost-effective satellites and advanced edge processors, providing third-party developers with access to space-based sensors and processing capabilities.