NASA’s Perseverance rover rolled throughout the rim of Jezero Crater for 700 ft on December 8, 2025, and one other 800 ft a couple of days later, however these have been no abnormal journeys. Actually, this was the primary time on one other planet that synthetic intelligence dealt with route planning by itself, deciding on protected programs with out the help of human specialists on Earth.
For years, human groups at NASA’s Jet Propulsion Laboratory have accomplished all of this work. They research orbital pictures, inspection maps, and rover standing updates earlier than meticulously mapping a set of fastened places spaced roughly 330 ft aside. Instructions are then despatched all the best way to Mars, a 140 million-mile journey, the place we should look forward to the sign to bounce again earlier than sending the subsequent set of directions.

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Perseverance then goes about its enterprise, rigorously performing every stage of the mission, pausing to relay again information, and hanging out to await the subsequent little bit of route from Earth. It retains the missions protected however restricts how a lot progress we will make in a day and necessitates hours of meticulous research by engineers again on Earth.
So the engineers determined to attempt a brand new method and resorted to generative AI, starting with vision-language fashions from Anthropic’s Claude household. The machine examined the entire identical information that human planners do, together with high-resolution pictures from NASA’s Mars Reconnaissance Orbiter’s HiRISE digital camera, in addition to complete slope data from digital elevation fashions. From that data, the AI recognized the entire main options, similar to bedrock exposures, rocky outcrops, boulder clusters ripe for bother, and transferring sand ripples. Then it generated a steady itinerary, marked by waypoints the place the rover may get new instructions.
Security remained a key problem, because the staff ran your entire plan by way of a digital twin, a digital copy of Perseverance that we had created at JPL, earlier than sending any directions to the rover. The simulation went by way of virtually 500 000 telemetry factors to make sure that the plan matched the rover’s precise flight software program and that we wouldn’t run into any bother. Solely after this was accomplished will the directions be despatched over the Deep Area Community.

On Martian day 1707, the preliminary drive coated a complete distance of 689 ft. The second journey on sol 1709 was a bit longer, 807 ft, and took round 2 and a half hours. The navigation cameras captured every little thing in actual time, exhibiting the rover transferring steadily over the crater rim. In a while, we have been capable of evaluation the footage and observe how carefully the AI’s plan matched the actual path that the rover took.
Vandi Verma, one of many house roboticists engaged on these programs at JPL, said that the actual massive deal right here is that generative AI could make off-world driving lots simpler as a result of it clearly reveals what the terrain seems to be like, is aware of precisely the place the rover is, and chooses the most secure path ahead.
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