NASA's Perseverance Rover Completes First AI-Planned Drive on Mars

The six-wheeled scientist used a vision-capable AI to create a safe route over the Red Planet's surface without human input.

Jan. 30, 2026 at 1:15pm

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NASA's Perseverance Mars rover has completed the first drives on another world that were planned by artificial intelligence. The demonstration used generative AI to create waypoints for Perseverance, a complex decision-making task typically performed manually by the mission's human rover planners.

Why it matters

This breakthrough shows how autonomous technologies can help missions operate more efficiently, respond to challenging terrain, and increase science return as distance from Earth grows. It's a strong example of teams applying new technology carefully and responsibly in real operations.

The details

During the demonstration, the team leveraged a type of generative AI called vision-language models to analyze existing data from JPL's surface mission dataset. The AI used the same imagery and data that human planners rely on to generate waypoints so that Perseverance could safely navigate the Martian terrain. The initiative was led out of JPL's Rover Operations Center in collaboration with Anthropic, using the company's Claude AI models.

  • On Dec. 8, with generative AI waypoints in its memory, Perseverance drove 689 feet (210 meters).
  • Two days later, on Dec. 10, it drove 807 feet (246 meters).

The players

Perseverance Mars Rover

NASA's six-wheeled rover designed to explore the Jezero crater on Mars.

Jared Isaacman

NASA Administrator.

Vandi Verma

A space roboticist at JPL and a member of the Perseverance engineering team.

Matt Wallace

Manager of JPL's Exploration Systems Office.

Anthropic

The company that provided the Claude AI models used in the demonstration.

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What they’re saying

“This demonstration shows how far our capabilities have advanced and broadens how we will explore other worlds. Autonomous technologies like this can help missions to operate more efficiently, respond to challenging terrain, and increase science return as distance from Earth grows. It's a strong example of teams applying new technology carefully and responsibly in real operations.”

— Jared Isaacman, NASA Administrator (nasa.gov)

“The fundamental elements of generative AI are showing a lot of promise in streamlining the pillars of autonomous navigation for off-planet driving: perception (seeing the rocks and ripples), localization (knowing where we are), and planning and control (deciding and executing the safest path). We are moving towards a day where generative AI and other smart tools will help our surface rovers handle kilometer-scale drives while minimizing operator workload, and flag interesting surface features for our science team by scouring huge volumes of rover images.”

— Vandi Verma, Space Roboticist, JPL (nasa.gov)

“Imagine intelligent systems not only on the ground at Earth, but also in edge applications in our rovers, helicopters, drones, and other surface elements trained with the collective wisdom of our NASA engineers, scientists, and astronauts. That is the game-changing technology we need to establish the infrastructure and systems required for a permanent human presence on the Moon and take the U.S. to Mars and beyond.”

— Matt Wallace, Manager, JPL's Exploration Systems Office (nasa.gov)

What’s next

The team plans to continue testing and refining the use of generative AI for autonomous navigation on future Perseverance drives, with the goal of enabling longer, more efficient traverses across the Martian surface.

The takeaway

This successful demonstration of AI-powered autonomous navigation on the Perseverance rover represents a significant step forward in the capabilities of space exploration, paving the way for more efficient and responsive robotic missions on Mars and beyond.