Navy robot deal quadruples as US looks to ‘outsmart’ China with AI at sea

The goal is to find those problems earlier, before a ship enters a major maintenance period and crews discover additional work that can extend its stay in the shipyard.

"The biggest savings are just in speed," Loosararian said. "Speed — you can't put a pricing tag on it, especially if you're in the U.S. Navy right now."

The expansion comes as Navy leaders seek to push fleet readiness toward 80% while maintenance delays continue to sideline ships that would otherwise be available for deployment.

China already fields a larger battle force than the U.S. Navy and can produce vessels at a pace American shipyards cannot easily match. That has put additional pressure on the Pentagon to keep more of the ships already in the American fleet available for operations.

For Gecko, the longer-term goal is to move beyond finding existing damage and use years of inspection data to anticipate problems before they force ships into longer repair periods.

"You are able to predict exactly what's going to break before it does," Loosararian said, allowing maintenance planners to have workers, materials and repair plans ready when a ship reaches the pier or enters a shipyard.

The technology could also reduce the amount of dangerous and labor-intensive inspection work performed by shipyard workers as the industrial base struggles with shortages of skilled labor.

Loosararian said the combination of robotics and AI is ultimately aimed at allowing a limited workforce to spend more time fixing ships and less time determining what needs to be fixed.

For a Navy racing to keep pace with a rapidly expanding Chinese fleet, he argued, getting more out of the ships already in the water could prove just as key as building new ones.

"While the U.S. may not be able to out-manufacture faster than China," Loosararian said, "we can outsmart the ways that we maintain, operate and are ready with our vessels."

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