Robust, Resilient and Intelligent C3I Technology
Abstract
This Project develops and characterizes machine learning and artificial intelligence methods for processing, analysis and provisioning control of smart, distributed, networked sensors and devices. It provides situational understanding and decision support to enable fast, adaptive and interoperable C3I network-integrated applications, resilient to adversarial activity in contested and complex environments. Effective use of distributed networked sensors, autonomous agents and automated decision support tools is critical to address threats posed by peer competitors and more capable asymmetric forces, particularly in complex environments where traditional sensors provide an incomplete understanding of the tactical situation due to adversarial activity, occluded sightlines and small fields of regard. Work in this Project complements PE 0602145A (Next Generation Combat Vehicle Technology) Project BF8 (Artificial Intelligence & Machine Learning Technology), PE 0603463A (Network C3I Advanced Technology) Project AQ5 (Sensor CE - Integrated Sensor Architecture), PE 0602146A (Network C3I Technology) Project AN7 (COE- Every Receiver is a Sensor Technology), and PE 0603463A (Network C3I Advanced Technology) Project AN8 (COE - Every Receiver is a Sensor). The cited work is consistent with the Under Secretary of Defense for Research and Engineering priority focus areas and the Army Modernization Strategy. Work in this Project is performed by the United States Army Futures Command.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2022
- Source ID
- AR1_0602146A_2_2040_PB_2022
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