AI in Space: How Artificial Intelligence Helps Explore the Universe

Space is the ultimate frontier for AI — vast distances, overwhelming data, and environments where humans cannot survive. AI has become the essential co-pilot for space exploration.

Mars Rovers: Driving Themselves on Another Planet

Mars is between 55 and 400 million kilometres from Earth, depending on orbital positions. A radio signal takes between 5 and 20 minutes one way. This means you cannot drive a rover manually — by the time you see a rock in its path and send a "stop" command, the rover has already driven 20 minutes further.

The solution is autonomous AI navigation. NASA's Perseverance rover uses a system called AutoNav that:

• Takes 3D stereo images of the terrain ahead
• Builds a map and identifies obstacles (rocks, slopes, soft sand)
• Plans a safe route to the target location
• Drives itself, stopping if it detects unexpected hazards

Perseverance can cover up to 200 metres in a single Martian day — impossible without AI driving.

AEGIS: The Rover That Spots Interesting Rocks

An AI system called AEGIS (Autonomous Exploration for Gathering Increased Science) analyses images taken by the rover's cameras and identifies rocks that match criteria for scientific interest — unusual compositions, unexpected formations, signs of past water activity. It then autonomously aims the rover's laser at them for analysis, without waiting for Earth scientists to review each image.

The James Webb Space Telescope and AI

The James Webb Space Telescope (JWST) generates massive amounts of data daily. AI helps by:

• Automatically filtering noise from instrument readings
• Identifying the spectral signatures of specific chemicals in distant atmospheres
• Flagging images that contain unusual objects worth human review
• Helping calibrate the telescope's instruments over time

Finding New Worlds with AI

NASA's TESS (Transiting Exoplanet Survey Satellite) monitors 200,000 stars simultaneously, looking for the tiny 1-2% dimming that happens when a planet passes in front of its star. TESS generates so much data that without AI, scientists could not process it in their lifetimes. Google's AI team built a neural network that analyses TESS data and has discovered thousands of planet candidates — including Earth-sized planets in habitable zones.

Space Weather: Protecting Earth with AI

Solar flares and coronal mass ejections from the Sun can damage satellites, disrupt GPS and knock out power grids on Earth. AI models now predict space weather 30 minutes to several hours ahead — enough time to protect satellites by putting them into safe mode.

Join Real Space Science

At science.nasa.gov/citizen-science, anyone can join NASA citizen science projects. Current projects include:

• Classifying craters on the Moon and Mars from real spacecraft images
• Reviewing planet candidate data from TESS
• Tracking asteroid positions
• Analysing climate data from satellites

Your classifications genuinely contribute to published scientific research.