Top US Shipbuilder Integrates Physical AI and Robotics

by Mark Thompson

Huntington Ingalls Industries (HII), the largest shipbuilder in the United States, is moving beyond traditional automation to integrate physical AI in shipbuilding. In a modern partnership announced Monday with California-based GrayMatter Robotics, the company aims to deploy autonomous systems capable of handling some of the most grueling and labor-intensive tasks in the production of Navy vessels.

The collaboration marks a strategic shift from “repeatable” automation—where robots perform the same single task in a fixed loop—to a more flexible form of artificial intelligence. Physical AI allows machines to interact with the physical world dynamically, enabling a single robotic system to execute multiple complex functions across different stages of construction.

This initiative comes as the U.S. Maritime industrial base faces a critical shortage of skilled laborers capable of performing high-precision, physically demanding work. By automating the “brutal” aspects of the build, HII hopes to accelerate production timelines for both manned and unmanned ships while bridging the gap created by a shrinking workforce.

Breaking the Limits of Traditional Automation

For years, HII has utilized digital engineering and standard automation in its shipyards. However, those systems have hit a ceiling. Eric Chewning, HII’s executive vice president of maritime systems and corporate strategy, noted that traditional technologies had been taken as far as they could go in the complex environment of Navy ship production. While customized for scale, these older systems remained limited to tasks that were largely repeatable.

Breaking the Limits of Traditional Automation

Physical AI changes the equation by giving robots the ability to “perceive” and adapt to their surroundings. Instead of following a rigid script, these systems can be deployed to perform a variety of finishing tasks on metal structures. The partnership will specifically explore the application of GrayMatter Robotics’ “Factory Superintelligence AI” to handle a suite of critical industrial processes:

  • Surface Preparation: Sanding and grinding metal components.
  • Protective Layering: Coating and blasting structures to prevent corrosion.
  • Quality Assurance: Inspecting and finishing metalwork for both crewed and uncrewed vessels.

Ariyan Kabir, CEO and co-founder of GrayMatter Robotics, emphasized that these tasks require “incredible precision” and are physically exhausting for humans. According to Kabir, the U.S. Simply does not have enough skilled personnel remaining who are capable of performing these specific jobs at the required scale.

A Multi-Pronged Strategy for Industrial Revitalization

The move toward autonomous shipbuilding is not an isolated experiment but part of a broader effort to revitalize the U.S. Industrial base. HII is operating under significant pressure to increase output to meet growing demand for naval assets. To achieve this, the company is pursuing several concurrent strategies to stabilize its production pipeline.

Beyond the integration of AI, HII is aggressively expanding its operational footprint and human capital. This includes partnering with more than 20 smaller shipyards and manufacturing centers to diversify its supply chain. To attract the remaining talent in the labor market, the company has also focused on increasing wages and building stronger pipelines with vocational and apprenticeship schools.

HII’s Strategic Pillars for Production Growth
Strategy Area Primary Objective Key Implementation
Physical AI Reduce labor intensity GrayMatter Robotics partnership
Supply Chain Increase throughput Partnerships with 20+ small shipyards
Workforce Close skills gap Higher wages & vocational pipelines
Production Scale capacity Increased uncrewed system output

Timeline and Next Steps for Implementation

The transition from laboratory concepts to shipyard reality will happen in phases. GrayMatter Robotics, which has spent six years working across the defense and aerospace sectors and has previous experience with the U.S. Navy, is now applying that expertise directly to HII’s specific shipyard environment.

Kabir has designated the coming year as “the year of demonstrations.” During this period, the two organizations will pilot the physical AI technology and test how the autonomous systems perform within the unique constraints of a working shipyard. Once the systems are validated in these real-world environments, the focus will shift toward scaling the technology for full-scale production.

The ultimate goal is to create a more agile shipbuilding process where autonomous robotic systems not only speed up the final construction phase but also assist workers in the preparation of materials, reducing the physical toll on the human workforce.

The success of this rollout will be measured by HII’s ability to integrate these technologies into four key areas: developing autonomous shipbuilding capabilities, integrating GrayMatter’s specific AI tech, training the existing workforce to operate alongside these machines, and increasing the production rate of uncrewed systems.

As HII moves into the demonstration phase, the industry will be watching to see if physical AI can truly solve the chronic labor shortages plaguing the American maritime sector. The next major checkpoint will be the results of these initial shipyard pilots, which will determine the scale of the subsequent production rollout.

We invite readers to share their thoughts on the intersection of AI and heavy industry in the comments below.

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