Is the opportunity to establish the scientific, technical, commercial merit and feasibility of your proposed innovation.
Find or generate materials that can be used in target areas that are not just domestically grown, much less costly, and environment-renewing but are weavable or printable
Bio-Based Fabric/Material/Textiles for Military Applications Read More »
The purpose of this topic is to develop and implement chassis suspension improvement, especially in the front, to soften and smooth out the ride for patients, as well as attendant, driver, commander.
M997A3 Chassis Suspension Improvements Read More »
To develop software / controls / integration that will allow a Variable Speed Fan Drive (VSFD) to be managed to reduce noise from the largest cause of HMMWV noise.
Variable Speed Engine Cooling Fan for Acoustic Detection Management Read More »
To increase run-flat range from 30 miles to 350 miles to support autonomous operations. The overall goals are to increase top run-flat speed from 30 mph to 45 mph, provide the same ride quality and terrain capability as existing pneumatic tires used for the military
Advanced Tire Technology for Manned and Unmanned Systems Read More »
To develop Artificial Intelligence (AI) capabilities that analyzes technical data information and assesses the candidacy of a component.
Artificial Intelligence (AI) for Additive Manufacturing (AM) Part Selection Read More »
To collect, transmit and archive data from armament systems (artillery, mortars, crew served, remote, squad) for use in AI/ML applications.
Armament System AI Data Logger & Architecture Read More »
This program aims to improve the Explosive Breacher (EB) by closing capability gaps in current breaching techniques left by quickly evolving adversarial technology and aging legacy equipment.
Machine Learning (ML) for Breach Routing Read More »
The purpose of this topic is to use recent advancements in Artificial Intelligence, specifically, GNN to be able to collaborate between different AI agents, Unmanned Aerial/Ground Systems (UxS).
Graph Neural Networks (GNN) for UxS Collaborative Agent Control Read More »
Most military scenarios consist of highly cluttered and dynamic scenes. Asynchronous on chip smart event cameras can eliminate cluttered scenarios with a much-reduced latency, power, and would be able to hand off images of interest to imbedded autonomous target algorithms.
The purpose of this topic is to demonstrate the ability to interface to a modern Software Defined Radio (SDR) and the Photon digital signal processing framework in order to characterize large swaths of the RF spectrum in near-real-time (NRT) using AI/ML techniques for signal modulation recognition and sorting (Blue Force emitters; Red Force emitters; Civilian emitters);
