Lockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test
Lockheed Martin successfully demonstrated AI-driven mission contingency management on autonomous drones, showcasing advancements in autonomous decision-making and multi-domain integration. The AI system allows rapid adjustments to mission plans, enhancing drone re-tasking and operator decision-making. This event highlights the ability of unmanned systems to collaborate under a unified command-and-control system.
Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management (AI/MCM) on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE Block 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Lockheed Martin Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: DA37966) on December 04, 2025, and is solely responsible for the information contained therein. © Copyright 2025 - Public Technologies (PUBT)
