The United States Navy, in a groundbreaking collaboration with Shield AI, is set to enhance its aerial target capabilities using advanced artificial intelligence. This partnership, formalized on August 16 under an Other Transaction Authority (OTA) agreement, aims to integrate autonomous technology into the BQM-177A, a sub-sonic aerial drone used in naval training exercises.

The initiative involves the Navy’s Strike Planning and Execution program (PMA-281) and the Aerial Targets program (PMA-208), both teaming up with Shield AI—a leading firm in autonomous aviation control. The agreement, facilitated by the Naval Aviation Systems Consortium (NASC), underscores a strategic advancement in utilizing AI for naval aviation applications.

A BQM-177 aerial target conducts test flight from China Lake, Calif. The Navy integrating artificial intelligence software into the BQM-177 to test capability for future autonomous operations. The BQM-177 replicates modern subsonic anti-ship cruise missile threats launched from air, land, surface and subsurface to test the effectiveness of shipboard air defense systems and used for fleet training Credit: U.S. Navy

Capt. Jerick Black, program manager for PMA-281, highlighted the significance of this integration. “This collaborative effort between PMA-281, PMA-208, and Shield AI not only expands and improves the existing spectrum of validation but also offers a scalable solution that benefits the entire naval aviation community,” he stated. The project is set to lay foundational advancements ensuring the Navy remains at the cutting edge of technological innovation and operational excellence.

Under the new agreement, Shield AI will incorporate its Hivemind AI pilot software into the BQM-177A, developing a sophisticated prototype test bed. This setup will facilitate rapid iteration of AI algorithms through real-world feedback, aiming to enhance reliability and operational readiness.

Johann Soto, lead of the PMA-281 software modernization team, explained the dual testing approach combining simulation-based testing with live trials. This method will allow for a continuous feedback loop, potentially increasing the AI systems’ effectiveness. A technical demonstration of these capabilities is scheduled for late 2025.

Greg Crewse, PMA-208 program manager, also noted the cost efficiency of using the BQM-177A. “By leveraging the BQM-177A’s lower unit cost and cost per flight hour, this initiative provides a flexible and cost-effective testing environment that drives innovation at an accelerated pace,” Crewse said.

The BQM-177A is specifically designed to mimic modern subsonic anti-ship cruise missile threats, aiding in comprehensive fleet training. It supports a range of mission requirements by accommodating various payloads, both internal and external.

This partnership between the Navy and Shield AI not only signifies a leap in military training capabilities but also in the broader application of autonomous technologies in defense settings, ensuring the Navy stays ahead in global naval operations.


David M. Higgins II is an award-winning journalist passionate about uncovering the truth and telling compelling stories. Born in Baltimore and raised in Southern Maryland, he has lived in several East...

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