Artificial intelligence is gradually becoming part of space technology. While most decisions regarding satellites and spacecraft were previously made by operators on Earth, modern systems are gaining increasing capabilities for autonomous data analysis, navigation, and the execution of specific operations.
One of the key areas of focus is AI deployed directly on board satellites. Instead of transmitting the entire volume of collected information to Earth, the spacecraft can preprocess the data and transmit only the most important results. ESA is already utilizing and researching such technologies for processing satellite imagery and detecting objects on the Earth's surface.
In 2026, NASA announced the deployment of the Prithvi geospatial AI model on two orbital platforms. The model is designed for Earth observation tasks and demonstrates how a portion of data analysis is gradually shifting directly to space.
Autonomous satellites
The next step is to make satellites more autonomous. AI can help them analyze equipment status, select actions, and respond to changes without constant operator intervention.
ESA, for example, is developing concepts for highly autonomous satellite systems and exploring the use of AI to manage individual satellites and entire constellations. This is particularly important as the number of spacecraft in orbit increases.
AI can also be used to monitor the technical condition of space systems. As part of the ESA ORBIT-STAR project, researchers developed a demonstrator that analyzes telemetry from the International Space Station, helping to detect potential malfunctions and determine actions to prevent further problems.
Navigation without continuous contact with Earth
Autonomous navigation becomes particularly important for deep-space missions. The farther a spacecraft is from Earth, the more time is required to transmit commands and receive a response.
In August 2026, NASA reported the results of the extended Starling mission, in which small satellites tested navigation independent of the standard navigation network. The FALCON system used observations of objects in space to determine the spacecraft's position. Such technologies are viewed as a foundation for future satellite constellations near the Moon and other autonomous space missions.
AI for Lunar and Planetary Exploration
Autonomy is particularly important for robots operating on the surfaces of other celestial bodies. On the Moon or Mars, a spacecraft may encounter a situation where it is impossible to quickly receive instructions from Earth.
In June 2026, ESA launched a dedicated program titled "Embodied Intelligence for Autonomous Space Systems ," aimed at developing space robots capable of independently perceiving their environment, making decisions, and executing actions. Particular emphasis is placed on future robots for lunar exploration.
In September 2026, NASA also announced field tests of the ASTRA AI system, designed for future autonomous scientific missions. The technology is intended to help robotic systems select the most interesting targets for exploration and make more efficient use of available time and resources.
Space is becoming increasingly autonomous.
The development of AI is transforming the very approach to space missions. Satellites and robots are gradually evolving from devices that receive commands from Earth into systems capable of independently analyzing situations and performing certain tasks.
However, this does not mean completely dispensing with human oversight. Space-based AI systems must operate under conditions of limited computing resources, communication delays, and high stakes regarding errors. Therefore, reliability, algorithm verification, and the ability to maintain control remain key requirements. ESA specifically emphasizes the need for the safe integration of AI into space systems.
What's next?
In the coming years, AI could become one of the key elements of new space systems:
* AI Satellites — data processing directly in orbit;
* Autonomous Navigation — autonomous navigation;
* AI Space Robotics — autonomous rovers and robots;
* AI Earth Observation — analysis of the Earth's surface;
* AI Mission Control — mission management automation;
* AI Space Swarms — interaction between groups of small satellites;
* AI Deep Space — autonomous operation of spacecraft far from Earth.
The core idea behind AI in space is not to replace humans, but to enable spacecraft to handle tasks autonomously in situations where constant communication with Earth is impossible or too slow.
As this technology advances, satellites, rovers, and other spacecraft may become increasingly autonomous—from processing data in orbit to making decisions while exploring other worlds.
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