Award Data

The primary goal of the preceding Phase I program was to demonstrate the feasibility of developing commercially viable products from our technological innovation that enables unprecedentedly high energy efficiency generation of super-intense EUV-x-ray beams via Metastable Innershell Molecular State. We have successfully met the Phase I goal by demonstrating the feasibility, and are now ready for f ...

Recent advancements in sensor simulation tools [2] have improved our ability to model radar, lidar, camera, and GPS with software/hardware in the loop. Of course, our ability to model the physics of heavy trucks [3] is quite mature as well. To address the challenge of developing the STE, we will provide our autonomy algorithms as Government Furnished Equipment (GFE). The focus of this topic ...

This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...

Military Environmental Control Units (ECUs) represent one of the dominant energy users in forward operating environments, and significant effort is being made to improving overall ECU efficiency [1]. Reducing overall Size, Weight and Power (SWaP) of military ECUs is complicated by the transient, yet predictable, nature of the thermal demand profile over the course of a typical daily usage cycle, ...

Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

Human-autonomous system interaction is frequently limited by lack of confidence and trust among the (combined) team. In order to have humans collaborate effectively with autonomous systems, improved interfaces and interaction techniques, and frameworks of interaction must be developed that allow for a common perception of the goals, constraints, resources, and other variables relevant to the team ...

Environmental Fuel Research, LLC (EFR-LLC), has demonstrated the technical feasibility of separating fats, oils, and greases (FOG) from grease trap waste (GTW) and converting FOG to biodiesel that can meet ASTM specifications. GTW is a dirty and low-value waste from the food service industry that is high in FOG and currently is treated as a liability. The EFR-LLC process uses a bubble column react ...

Patterns of electricity generation and consumption in the United States have rapidly changed over the past decade and are forecasted to continue doing so in coming decades. On the supply side, increasing generation from renewable sources has raised concerns about the ability of the electrical grid to stay stable given renewables’ intermittent and distributed nature, and has increased calls for n ...

To deal with the increasingly complex, dynamic and unpredictable operational environments of the 21st century, unmanned and autonomous system, sensor, and vehicle technologies are being expanded and improved. For example, unmanned air, ground, and maritime systems provide an expanding set of capabilities, such as intelligence, detection, security, targeting, and strike, while reducing the risk to ...