Robots On The Hull: Buying Readiness For The Pacific Fleet
The Navy’s deal with Gecko Robotics is a quiet revolution in fleet maintenance, signaling a shift from slow, analog ship inspections to a digital regime where robots and AI map the true health of hulls at machine speed. By putting hull‑climbing robots to work on 18 Pacific Fleet ships over the next nine months under a five‑year contract worth up to $71 million,
Navy leaders are betting that better data—not just more money—will unlock their goal of 80 percent readiness by 2027. If Gecko’s claim of up to 50‑times‑faster inspections holds, the contract could become a template for how the service tackles its maintenance backlog and turns material condition from a chronic vulnerability into a managed variable in great‑power competition.
What Diana Stancy usefully surfaces in her Breaking Defense report is how this contract connects directly to the Navy’s self‑identified readiness gap. As of April 2025, Vice Chief of Naval Operations Adm. Jim Kilby put surface ship readiness at roughly 68 percent, well short of the 80 percent combat surge readiness target the Navy wants to hit by 2027.
The delta here is not an abstract metric; it is ships that exist on the books but cannot be surged because they are tied up in maintenance and modernization cycles that run long and remain stubbornly unpredictable. That is precisely the dynamic we have highlighted in our work on the “combat credibility” of the fleet: you do not deter with notional force structure, you deter with ships that can show up.
Gecko’s value proposition sits squarely inside that problem. The company’s hull‑climbing robots and associated software do not change the physics of steel fatigue or corrosion, but they do change how quickly and how accurately the Navy can see what is happening to its hulls, decks and welds. Instead of sending teams of workers to manually scale, test and document the condition of a ship’s structure, the Navy can now deploy robots that capture dense, non‑destructive data at speed and feed it into analytic tools. Shipyard workers then use those tools to build models of the ship’s material state and pinpoint where repairs are actually needed.
In other words, inspection becomes a digital input to a managed maintenance process, not an analog, one‑off event that constantly surprises planners.
Jake Loosararian, Gecko’s CEO, describes this as building a “living, breathing, digital record” of the health of some of the Navy’s most critical assets, explicitly tying that effort to the 80 percent readiness goal. That language tracks closely with a theme we have been following for years across the joint force: the shift from platform‑centric modernization to what we have called a “sustainment‑as‑a‑weapon‑system” approach. The same kill‑web logic that drives integration in operations—connecting sensors, shooters and deciders—has an analogue in sustainment, where the service needs to connect condition data, industrial capacity and operational demand into a coherent, continuously updated picture. Gecko’s robots are one enabling technology in that broader shift, the point where steel meets the digital thread.
Stancy notes that Gecko claims its technology can detect required repairs up to 50 times faster than traditional methods. Even if the realized performance is well below that theoretical mark, the structural effect is still important. Faster, data‑rich assessment at the front end of an availability means better work packages, fewer change orders, and fewer “unknown unknowns” that blow out schedules in the middle of a docking period. In our previous discussions of the USS Nimitz life‑extension and the broader strain on public shipyards, the constant refrain from practitioners has been the cost of discovery late in the game. A capability that pulls that discovery left—and captures it in digital form—directly addresses that pathology.
It is also significant that this is not a green‑field experiment. As the article notes, the Navy has already used Gecko systems on surface ships and aircraft carriers; this contract is simply the largest engagement with the company to date.
The initial focus on 18 ships in the Pacific Fleet gives the Navy a meaningful but bounded implementation space: destroyers, amphibious warships and littoral combat ships that are central to the day‑to‑day and surge posture in the Indo‑Pacific. That geographic and platform focus resonates with the pattern we have seen on other modernization vectors, F‑35 integration, USV experimentation, and allied maritime cooperation—where the Pacific becomes both the forcing function and the laboratory.
For America’s closest maritime allies, there is an obvious echo in this story. The same industrial‑age inspection and maintenance practices that constrain U.S. Navy readiness show up in the Royal Navy, the Marine Nationale, the Japanese Maritime Self‑Defense Force, and others struggling to keep high‑end ships available. Digital inspection and predictive maintenance tools like those described in the Gecko contract offer a pathway to shared condition data, common methods, and potentially even collaborative use of scarce yard capacity across allied fleets. That dovetails with the Allied Fleet concept we have explored at Defense.info: deterrence at sea is increasingly a function of a distributed set of national fleets that can operate as one, and that integration must extend into sustainment if it is to be real.
From an industrial‑base standpoint, the story also underscores a point we have heard repeatedly in our visits to shipyards and maintenance facilities. The bottleneck is not simply money or even dry‑dock space; it is skilled labor and the efficiency with which that labor is employed. By offloading the most repetitive and time‑consuming inspection tasks to robots, and by returning the results as structured data rather than hand‑written notes, the Navy can allow its human workforce to concentrate on higher‑value tasks. That aligns with the broader requirement to make smarter use of a finite industrial ecosystem while demand for ship work, public and private, continues to grow.
Seen through this lens, the Gecko Robotics contract should be read less as a niche “cool tech” story and more as one concrete instantiation of a larger re‑think in how the Navy intends to generate readiness. It sits alongside acquisition reform, new PEO structures, and the push for digital engineering as part of a larger attempt to move from episodic, analog management to continuous, data‑driven stewardship of the fleet.
The question—and this is where we will continue to focus at Defense.info is whether efforts like this are scaled and integrated quickly enough to matter in the decisive theater and timeframe, or whether they remain promising pilots on the margins of a still‑industrial‑age maintenance system.
Recently, I published my interview with Fairbanks Morse Defense on their approach to robotic welding to support enhanced capabilities to deliver a ready fleet more rapidly.
Fairbanks Morse Defense and Gecko Robotics illustrate how complementary actors, rather than direct competitors, are beginning to rewire naval sustainment. FMD brings OEM‑grade repair, robotic welding, advanced machining, and anomaly detection tools to the propulsion and powerplant side of the fleet, turning legacy diesel engines and critical components into digitally managed assets.
Gecko, by contrast, attacks the problem from the hull in, using climbing robots and AI‑enabled analytics to generate dense, non‑destructive condition data on ship structures that feeds smarter work packages and more predictable availabilities.
Together, they sketch the outline of a digital sustainment ecosystem in which inspection and repair are fused in near‑real time, buying back readiness not by adding more ships on paper but by keeping existing hulls available to fight.
Robotics and Ship Repairs: A Way Ahead for the U.S. Navy Fleet and their Maintenance