The U.S. Army is working with EdgeRunner AI to put a compact, powerful neural “brain” on battlefield robots so they can think and keep going even when humans lose touch. This onboard AI is built to run without cloud access, handle jamming and make mission-focused choices alongside drones and human operators. The push is driven by competition with China and lessons from recent conflicts, with a sharp focus on keeping American forces ahead and safer in contested environments.
The program pairs Army Research Laboratory expertise with private-sector speed to create an AI that lives on the machine itself. That avoids dependence on distant servers and networks that an enemy can target or take offline. The endgame is edge intelligence that helps a squad move, sense, and act when connectivity disappears.
“We like to think of robots as the next frontier of AI,” EdgeRunner AI founder and CEO Tyler Saltsman told Fox News Digital. “Think of them as a very far-out edge device, kind of like a cell phone, a tablet or a laptop. But now what we can do is we can put a brain, or a neural network, right on that robot so that robots can have context when they’re on a mission helping the warfighter.”
That context is the difference between a camera that sees and a system that understands what it sees. These robots are being trained for specific battlefield chores instead of general-purpose chatter. Saltsman pushes the practical angle: let the machine sort routes, spot threats, carry loads and feed concise, useful intel to the person who needs it most.
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There is urgency because rivals are moving fast. The U.S. and China are in a technological sprint to fold AI into warfare, and Republican policymakers and defense planners are rightly worried about ceding any ground. Saltsman called China’s lead in drone production “problematic” and warned that complacency is not an option.
“Whether or not China’s ahead of us is debatable, but if China is, it’s not by much,” he said. That line captures the political pressure: we need to match speed with smarts, not just pour money into systems without clear military value. The approach here is focused, mission-driven AI rather than vague research with no clear battlefield payoff.
“Warfighters don’t need 19th-century poetry,” Saltsman said. He argues for concise, actionable data tailored to the user’s role so decisions happen faster and with less confusion. In real combat seconds matter, and a system that reduces cognitive load can swing outcomes without adding bureaucracy.
Working with aerial drones, these ground systems are meant to “problem solve through different routes” while detecting explosives, carrying ammunition, scouting routes and reporting enemy activity. The ideas are straightforward and modular so units can mix and match tools depending on the mission. When integrated correctly, the combined picture from air and ground assets boosts situational awareness across the force.
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The Russia-Ukraine fight made clear how cheap, effective drones reshape the battlefield and pushed militaries to look at next steps. “As drones have become ubiquitous, now ground robots are like the next thing and then eventually humanoid robots so robots that move and look like humans,” Saltsman said, pointing to a likely evolution from simple scouts to more capable autonomous teammates. Ground robots can do dirty, dangerous work and reduce risk to troops if they can be trusted to act correctly.
Trust comes from testing, transparency and design choices that limit misuse. Saltsman emphasizes that the company uses “transparent” datasets to “understand the biases” of the AI and to build guardrails. “One of the problems is how to use AI safely, how to put guardrails around it and how to understand it,” he said, which is a tidy nod to both ethical concerns and simple battlefield reliability.
Autonomy also solves a tactical problem: what happens if you are jammed or cut off. “You can have a human pilot that controls the ground robot or the drone in the air,” Saltsman said. “But then if they were to be jammed by a radar jammer and lose connectivity, then the neural network on that robot can still continue the mission and still aid the warfighter.”
The team is skeptical of relying on public or commercial satellites for frontline comms. “The problem with Starlink is if you use it, you’re effectively showing the enemy where you are, so you might as well be wearing a beacon on you saying, ‘Hey, here’s where I’m located,'” Saltsman warned. That kind of blunt realism is common among defense conservatives who prefer rugged, resilient systems over flashy but fragile fixes.
Even in development, the goal is capability, not spectacle: give robots the ability to understand context, not just detect motion. “You can put computer vision models on robots so they can see, but if they don’t understand the context of what they’re seeing, they’re not useful and that’s what we’re solving for.” That kind of focused engineering is exactly what the military needs if it wants to keep the advantage on future battlefields.
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Darnell Thompkins is a conservative opinion writer from Atlanta, GA, known for his insightful commentary on politics, culture, and community issues. With a passion for championing traditional values and personal responsibility, Darnell brings a thoughtful Southern perspective to the national conversation. His writing aims to inspire meaningful dialogue and advocate for policies that strengthen families and empower individuals.