Award Data

Military obscurants effectively absorb, scatter, or emit radiation in the visible, infrared and millimeter wavelength ranges to disrupt the line of sight between the target and observer. These aerosolized materials play a crucial role in preventing the detection of the US Warfighter by enemy sensors including seekers, trackers, optical devices, and the human eye. Recently, the Army has expressed i ...

Modern infrared imagers can potentially detect the thermal signature of small unmanned aerial vehicles (UAV)s used by the U.S. Warfighter, potentially affecting mission outcome. To overcome this, Luna proposes to develop a novel, environmental safety and occupational health (ESOH)-friendly coating for thermal and infrared control. The coating will consist of Luna’s propriety resin chemistry and ...

The U.S. Army has a future need for multiple secondary high explosive compositions that can also be used interchangeably as rocket propellants. In this proposal we will discuss a method of preparing such compositions via advanced spray drying technology and involving the use of a highly insensitive spray dried nitramine or CL-20 composition which have been plasticized with an energetic polymer t ...

To address the challenges posed by verification and validation (V&V) of artificial-intelligence (AI) and machine-learning (ML) for high assurance in safety-critical functions of armaments systems, ARiA and Arizona State University (ASU) will develop and demonstrate the feasibility of the Machine Learning Qualification Process (MLQP). The Phase I effort will (1) research and develop fundamental met ...

The next generation of Army munitions is aligned with DoD priorities and aims at increasing overmatch capabilities by extending range, including guidance systems while increasing lethality via blast effects. These objectives are typically not compatible in systems sharing a fixed volume and weight. Many munition systems have received propulsion and guidance upgrades over the years; however, most o ...

Under this STTR Phase I project, we propose a framework for complex event detection that addresses the limitations of the state-of-the-art by effectively combining deep learning models with neuro-symbolic reasoning. In our approach, we apply a joint deep neural network (DNN) and statistical relational learning (SRL) based framework that combines semantic reasoning and relational learning with data ...

Red phosphorous is prone to releasing toxic and flammable phosphine gas when exposed to moisture. Since red-phosphorous based-items are stored in sealed containers, sometimes for decades at a time, it’s important to know the concentration of phosphine before opening the container to avoid any safety issues or the need for extensive safety gear. Commercial sensors exist but are expensive and impr ...

Post-traumatic stress disorder (PTSD) is a psychiatric disorder that can develop after experiencing distressing events such as combat, serious accidents and injuries, or threats. While 8 million adults are affected in the United States each year, the disorder is especially prevalent for military service members, with estimated rates as high as 20-30% for Iraq and Afghanistan veterans. To prevent s ...

The US Army has demonstrated great support of developing robust communications in a contested and congested electromagnetic environment.  Communication is often key to mission success and with growing amounts of co-channel interference and adversaries developing advanced threats aimed at detecting, geolocating, and jamming US assets, it is of the utmost importance that US troops are equipped with ...

This SBIR Phase I project will demonstrate the feasibility and effectiveness of a sensor system to capture and construct high-resolution depth measurements for smooth surfaces such as concrete and asphalt pavements. The Novateur team will develop a prototype system using COTS components and test perform tests at its Accelerated Pavement Testing Facility (APTF). The proposed system incorporates har ...