US Navy partners with Shield AI to enhance autonomy in Naval Aviation

The US Navy’s Strike Planning and Execution program (PMA-281) and Aerial Targets program (PMA-208) have partnered with US firm Shield AI to integrate autonomy and artificial intelligence software into the Kratos BQM-177A sub-sonic aerial target.

Under the agreement Shield AI will integrate its Hivemind AI pilot software and deliver a robust prototype test bed using the BQM-177. The Kratos BQM-177A has a minimum altitude of 2m and a maximum speed of M0.95.

“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,” said Captain Jerick Black, PMA-281 program manager. “By laying the groundwork for future advancements, this initiative ensures that the Navy remains at the forefront of technological innovation and operational excellence in naval aviation.”

This configuration of the aerial target facilitates rapid iteration by continuously refining and updating AI algorithms through real-world feedback, said Johann Soto, PMA-281 software modernization team lead. This ensures the systems are robust, reliable, and ready for operational deployment

This test approach creates a seamless connection between simulation-based testing and live testing, allowing for a comprehensive and continuous feedback loop that enhances the effectiveness of the AI systems being developed, Soto said.  A technical demonstration is planned for late 2025.

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, according to the US Navy.

The BQM-177A replicates modern subsonic anti-ship cruise missile threats in support of fleet training for both developmental and operational tests. It can support a variety of mission requirement by carrying a wide array of internal and external payloads.