Machine Learning-based Analytics for Autonomous Rover Systems program Archives

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Deep Learning Will Help Future Mars Rovers Go Farther, Faster, and Do More Science

The Machine Learning-based Analytics for Autonomous Rover Systems (MAARS) program encompasses a range of areas where artificial intelligence could be useful. The team presented results of the MAARS project at IEEE Aerospace Conference in March 2020. The project was a finalist for the NASA Software Award. (Credit: TACC)

NASA JPL team uses TACC’s Maverick2 system to develop software, train models.

AUSTIN, Texas (Texas Advance Computing Center PR) — NASA’s Mars rovers have been one of the great scientific and space successes of the past two decades.

Four generations of rovers have traversed the red planet gathering scientific data, sending back evocative photographs, and surviving incredibly harsh conditions — all using on-board computers less powerful than an iPhone 1. The latest rover, Perseverance, was launched on July 30, 2020, and engineers are already dreaming of a future generation of rovers.

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