During a recent operational exercise at the Joint Readiness Training Center in Fort Polk, Louisiana, US Army forces demonstrated a transformative approach to combat engineering by deploying uncrewed aerial and ground systems to neutralize fortified enemy positions. Conducted in April by the 3rd Mobile Brigade Combat Team under the direction of Brigade Commander Col. Ryan Bell, the drill emphasized the tactical integration of commercially sourced drones and robotics to eliminate the need for conventional breaching maneuvers. The operation centered on a controlled assault where a rifle company was tasked with securing a heavily defended zone. Rather than relying on traditional engineering assets, unit personnel launched a coordinated uncrewed strike comprising 35 self-assembled aerial systems and two remotely operated ground vehicles loaded with C4 explosives. The aerial assets executed a layered approach: 25 attack drones neutralized bunkers and machine gun nests, supplementary platforms deployed electronic warfare sensors and countermeasures, while additional units released smoke canisters to obscure the battlefield. Following aerial suppression, the ground robots advanced to detonate anti-vehicle ditches and concertina wire obstacles. The entire sequence consumed approximately 100 pounds of explosives and a fraction of the cost equivalent to three 155-millimeter artillery barrages, achieving a completely uncontested breach upon the arrival of infantry. The successful drill underscored the strategic viability of a drone-centric contact layer, a doctrine designed to engage and degrade enemy capabilities before manned units enter contested airspace. Bell noted that the exercise revealed critical lessons regarding force protection and resource allocation, particularly the necessity for scalable, attritable unmanned platforms constructed from Blue UAS compliant components and 3D-printed parts. Artificial intelligence also played a significant role in the brigade command infrastructure, with personnel deploying custom software agents to process up to 25,000 battlefield reports in real time. Despite these advances, commanders identified clear boundaries to current AI capabilities. Large language models proved inadequate for three-dimensional spatial reasoning and complex operational planning, reinforcing the requirement for human expertise to interpret dynamic tactical environments. As the US Army continues to integrate robotics and machine learning into frontline operations, the Fort Polk exercise illustrates a decisive shift toward distributed, cost-efficient uncrewed networks that prioritize personnel safety while accelerating decision-making cycles in high-intensity combat scenarios.