{"id":5178,"date":"2026-07-29T00:50:30","date_gmt":"2026-07-29T00:50:30","guid":{"rendered":"https:\/\/daily-bullet.com\/?p=5178"},"modified":"2026-07-29T00:50:30","modified_gmt":"2026-07-29T00:50:30","slug":"army-data-researchers-reshape-soldier-ai-collaboration-to-strengthen-accelerate-battlefield-planning","status":"publish","type":"post","link":"https:\/\/daily-bullet.com\/?p=5178","title":{"rendered":"Army Data Researchers Reshape Soldier-AI Collaboration to Strengthen, Accelerate Battlefield Planning"},"content":{"rendered":"
FORT IRWIN,\u00a0Calif.<\/strong>\u00a0\u2014\u00a0Army\u00a0data scientists designed\u00a0an experimental AI-powered platform that\u00a0could\u00a0transform\u00a0the military\u00a0decision-making\u00a0planning\u00a0process,\u00a0to compress\u00a0planning\u00a0timelines from days or hours to seconds\u00a0and\u00a0to\u00a0enable rapid,\u00a0adaptable\u00a0decision-making on the future battlefield.<\/p>\n As part of\u00a0the\u00a0U.S.\u00a0Army Combat Capabilities Development Command, or\u00a0DEVCOM,\u00a0Army\u00a0Research\u00a0Laboratory, which is the Army\u2019s sole\u00a0fundamental\u00a0laboratory,\u00a0the\u00a0Course\u00a0Of\u00a0Action Generative Pre-trained Transformer, or COA-GPT,\u00a0is part of the\u00a0U.S.\u00a0Army\u2019s largest experiment exercise at Project Convergence\u00a0Capstone 6\u00a0at Fort Irwin, Calif., from\u00a0July\u00a017-29.\u00a0The COA-GPT\u00a0is a\u00a0scientific\u00a0platform\u00a0designed to\u00a0accelerate\u00a0mission planning\u00a0and\u00a0provide\u00a0an\u00a0adaptable and\u00a0decisive\u00a0framework\u00a0for planning,\u00a0intelligence\u00a0and command\u00a0to solve critical human-AI integration challenges,<\/p>\n \u201cBy fusing generative AI with hard-won military expertise and doctrine,\u00a0COA-GPT\u00a0provides\u00a0Army leaders and warfighters,\u00a0the ability to generate and compare innovative workflow options,\u201d\u00a0said Dr. Amar Marathe,\u00a0DEVCOM\u00a0ARL\u00a0COA-GPT program\u00a0manager.\u00a0\u201cWe are not replacing Soldiers with AI\u2014we are arming them with it. COA-GPT integrates seamlessly into the workflow to make military planners faster, more efficient, and more effective.\u201d<\/p>\n<\/blockquote>\n COA-GPT\u00a0represents\u00a0more than four years of partnership between ARL and the U.S. Army Futures and Concepts Command\u2019s Command and Control Future Capability Directorate.\u00a0The team uses\u00a0regular Soldier-driven experiments to characterize planning-related Soldier-AI integration challenges and ensure that COA-GPT reflects the direct feedback of the Soldiers the\u00a0testbed\u00a0platform is designed to support.<\/p>\n According to Marathe, a major\u00a0scientific\u00a0hurdle is clearly communicating intent to machines\u00a0across a distributed team of Soldiers and systems.\u00a0Through an\u00a0industry partnership with\u00a0Hyssos\u00a0Tech,\u00a0COA-GPT uses\u00a0an\u00a0advanced graphic\u00a0interface\u00a0within the\u00a0testbed,\u00a0enabling\u00a0leaders\u00a0across multiple echelons\u00a0to use intuitive methods, like drawing on a shared map, to better direct agentic AI\u00a0to reduce\u00a0miscommunication, cognitive\u00a0load\u00a0and friction across personnel.<\/p>\n \u201cWe built COA-GPT with a plug-and-play architecture, giving researchers the freedom to easily swap components and test new AI capabilities without having to rebuild the entire system,\u201d Marathe said.<\/p>\n<\/blockquote>\n The next steps include refinement of\u00a0the\u00a0COA-GPT\u00a0testbed\u00a0through\u00a0rigorous\u00a0Soldier feedback\u00a0and industry collaboration.\u00a0Future efforts will explore how generative AI shifts the traditional responsibilities of Army planning staffs, which\u00a0new cognitive competencies planners\u00a0need to\u00a0prioritize, and how to\u00a0optimize\u00a0workflows,\u00a0ultimately helping\u00a0the Army\u00a0maintain\u00a0a decisive advantage.<\/p>\n By DEVCOM Army Research Laboratory Public Affairs Office<\/em><\/p>\n\n
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