Artificial Intelligence (AI) and Machine Learning (ML) technologies
Advanced Space, LLC is developing and leveraging state of the art artificial intelligence (AI) and machine learning (ML) technologies for the entire spaceflight planning and operations stack. These technologies benefit mission planning and analysis, onboard autonomy, space situational awareness (SSA), space traffic management, collision avoidance, and navigation / orbit determination. Advanced Space develops and applies these technologies to all orbital regimes, from Low Earth Orbit (LEO) to xGEO / cislunar orbits, to interplanetary space.
By integrating AI and ML into its core operations, Advanced Space aims to improve the efficiency, reliability, and success rate of space missions, aligning with its mission to enable the sustainable exploration, development, and settlement of space.
On-orbit Autonomy
On-orbit autonomy refers to the capability of a spacecraft to perform tasks and make decisions independently while in orbit, without requiring constant communication and control from ground-based operators. This autonomy is achieved through advanced algorithms, AI, and ML technologies that enable the spacecraft to handle various functions on its own.
On-orbit autonomy enhances the efficiency and reliability of space missions by reducing the dependency on ground control, allowing for faster response times, and enabling more complex and ambitious missions. It is a critical capability for deep space exploration, where communication delays with Earth can be significant. It is also critical for Earth orbit, where the exponential rise in the number of satellites launched per year makes traffic and data management impossible with traditional approaches. This will allow for the development of constellations at scale.
Space Situational Awareness and Traffic Coordination
Space Situational Awareness and Traffic Coordination refers to maintaining awareness of objects in orbit, including tracking their positions and velocities, understanding their behaviors and capabilities, and recommending actions to reduce risks to spacecraft.
Space Situational Awareness and Traffic Coordination enhances all activity in space by providing mechanisms to ensure spacecraft will not be damaged or otherwise prevented from continuing their mission. By understanding the state and other properties of each space object today, predictions can be made into the future that will allow operators to avoid risk.