Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

Small unmanned aerial systems (sUASs) are quickly emerging as low-cost attritable aerial platforms for hostile reconnaissance, targeting, weapon delivery, and other purposes. Unlike legacy air targets, small unmanned aerial systems fly at low altitude, are easily masked by terrain features, often fly at relatively low velocities that render many forms of Doppler and time/frequency radar exploitati ...

Areté and UCSD propose to use radar simulations and performance modeling to investigate the benefits and disadvantages of three potential MIMO Millimeter Wave (MMW), phased array configurations and to design a prototype for counter-UAS to detect, classify and track small targets out to 0.5-1.0 km range. Keys to success operational capability include sufficient SNR, sufficient angular resolution, ...

This Small Business Technology Transfer (STTR) project aims to leverage the recent advancement of solid oxide fuel cell (SOFC) to enable a compact and portable fuel cell system with a system-level volumetric power density of 3000W/L, which can serve as the lightweight power source for US Army. Storagenergy Technologies, Inc. (Storagenergy) proposes a compact SOFC system for portable power source ...

Adaptive Energy (AE) is a Solid Oxide Fuel Cell (SOFC) development and manufacturing company focused on providing reliable, robust, and cost-effective SOFC products at the 100-500W power output range.  Due to the usage of microtubular SOFC cells (6.6mm diameter tubes) in these products, AE’s SOFCs avoid the traditional pitfalls of larger SOFC systems – mainly sealing and thermal cycling.  Th ...

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 ...

The overall objective of the proposed effort is to develop a user-friendly fast-running software tool that assesses the blast / ballistic performance of various bio-based construction products and compares their blast/ballistic performance, fabrication and installation cost, energy efficiency, and logistics complications with that of other conventional construction materials.  Specific objectives ...

Ground Vehicle Systems Center (GVSC) is currently tasked to develop the Next-Generation NATO Reference Mobility Model (NG-NRMM). NG-NRMM is a simulation capability to compute and display the mobility on deformable soil as a map of GO/NOGO capability. An essential input for the NG-NRMM model is the terrain mechanical properties. Traditionally, the terrain mechanical properties are determined by dir ...