Ground Enabling University Adv Development
Abstract
The Project leverages advanced developments and technological innovations from academia, in the focus areas of ground autonomy, Artificial Intelligence/Machine Learning (AI/ML) and robotics, occupant/vehicle survivability and other ground platform technologies of importance to the Army, by accelerating experiments and demonstrations focused on getting technology to the warfighter more quickly. This Project performs advanced research and development efforts to focus more on mid to far-term Army modernization priorities while also maintaining delivery of near-term technologies critical to the next generation combat vehicles. This Project focuses on experimentation and demonstration of various advanced technologies originating from extramural applied research in academia pertaining to navigation/routing, autonomous robotic vehicles with the use of artificial intelligence and machine learning as applied to ground mobility and maneuver, and other innovative ground enabling applied research technologies. This effort conducts advanced research and demonstration leading to potential emerging technologies in areas of strategic importance to the Army in autonomy, robotics and AI/ML, protection of both platform and occupant, and other ground platform technologies in propulsion, survivability, powertrain, etc., by bringing competitively selected Universities with research and development teams into Technical Alliances. Work in this Project supports the Army Modernization Priority Next Generation Combat Vehicle. The cited work is consistent with 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 (US) Army Futures Command. This work is done in coordination with PE 0620145A (Ground Technology), PE 0602145A (Next Generation Combat Vehicle Technology) and PE 0603462A (Next Generation Combat Vehicle Advanced Technology).
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2022
- Source ID
- CJ9_0603119A_3_2040_PB_2022
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