The U.S. Army Futures and Autonomous Systems Command was officially established in October 2026 to integrate autonomous technologies into aviation, armor, fires, and engineer units. Designed to accelerate fielding by fiscal year 2028, the command addresses theater-level operational threats posed by ubiquitous enemy sensors and precision fires.
At Fort Bragg, tactical trials during Project Sandhills 2.0 evaluated Bumblebee V2 small unmanned aerial systems, counter-drone turrets, and robotic breaching payloads under direct observation. Continuous electronic warfare jamming and radio link severing render manual point-to-point remote control unfeasible in contested environments. Scalable autonomy demands edge processing. Subsequent Army Research Laboratory simulations confirmed that mixed manned-unmanned crews maintain stable cognitive workloads while managing Robotic Combat Vehicles alongside airborne launched effects. However, transitioning these capabilities to full brigade combat teams requires decentralized command structures and resilient networks capable of sustaining operations when electromagnetic spectrum access is denied.
High-power electromagnetic jamming in contested operational theaters exposes the vulnerability of uncrewed platforms dependent on continuous command telemetry. During Project Sandhills 2.0 trials at Fort Bragg, Bumblebee V2 operators demonstrated that radio-frequency links break down rapidly when subjected to active electronic countermeasures. Without localized edge processing, remotely piloted systems become non-functional assets as soon as enemy electronic warfare units jam tactical control channels.
This electromagnetic vulnerability shifts the technological priority toward onboard optical navigation and signal-silent autonomous control. Platforms evaluated under the Engineer Autonomous Breaching Capability rely on onboard sensor fusion rather than continuous data feeds to negotiate obstacle belts under active electronic suppression. Consequently, FASCOM fielding targets for 2028 depend on edge-processing algorithms capable of sustaining robotic maneuver during total radio-frequency blackout.
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