A few days ago, NASA revealed that it had used the Perseverance rover on Mars to conduct humanity’s first AI-driven planet exploration. Vandi Verma, an Indian scientist, spearheaded the project.
Artificial intelligence is now helping a Mars rover select where to drive. In a new test, NASA allowed a clever computer system to create safe paths on the surface of Mars, revealing how space exploration is slowly becoming more autonomous from humans on Earth.
According to NASA, the team employed vision enabled AI technology for its six wheeled rover to safely travel the Martian surface without the need for human route planners.
On 8 and 10 December 2025, NASA’s Perseverance rover, in a first, successfully conducted drives on Mars utilizing paths designed purely by artificial intelligence without any human assistance.
A sort of generative AI known as a vision language model was used in the demonstration, which was conducted along the rim of the Jezero Crater on Mars. The model analyzed the Martian topography and plotted a route for Perseverance to finish the journey through safe checkpoints.
This demonstration highlights how far our capabilities have grown and broadens how we will explore other worlds,” NASA Administrator Jared Isaacman said, announcing the success.
As missions get farther away from Earth, autonomous systems like this can help them function more effectively, adapt to difficult terrain, and boost science return. It’s a great illustration of teams using new technologies appropriately and cautiously in actual operations,” he continued.
The work of NASA’s Jet Propulsion Laboratory (JPL), which includes India-born Vandi Verma, at the Rover Operations Center (ROC) marked a turning point in space exploration.
Who is Vandi Verma?
Vandana ‘Vandi’ Verma, the daughter of an Indian Air Force (IAF) pilot, was born and partially raised in Halwara, Punjab. She is one of the few persons on Earth who is certified to operate a vehicle on Mars.
Verma got her bachelor’s degree in electrical engineering from the Punjab Engineering College in Chandigarh before pursuing a master’s degree in robotics at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania.
For her dissertation studies, Verma stayed with robotics, receiving her PhD at Carnegie Mellon in 2005, with a thesis titled Tractable Particle Filters for Robot Fault Diagnosis. She became interested in robots in uncharted territory while attending CMU, and she interned at NASA’s Ames Research Center.
Verma also field-tested a rover that examined South America’s Atacama Desert for evidence of life, commencing her foray into robotics-driven exploration, and foreshadowing her present work at NASA. Beyond the cutting-edge research she undertakes for NASA, Verma is also a certified pilot.
The robotics researcher joined NASA’s JPL in 2007, and by 2019, was commanding JPL’s Autonomous Systems, Mobility, and Robotic Systems group. She had already worked on NASA’s Curiosity rover, and is currently handling AI-driven exploration carried out by the Perseverance rover.
In response to the landmark achievement, Verma said, “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.”
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“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,” she continued.
Image Courtesy: Wikipedia
