Award Data

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 100-350W power output range. AE proposes leveraging this world-leading military-grade tubular ceramic fuel cell technology with recent protonic-ceramic fuel-cell (PCFC) materials and manufacturing advances from the Colorado Scho ...

Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

Robotic systems in general, and Unmanned Arial Vehicles (UAVs) in particular, pose a threat for both military and civilians when in the wrong hands. The triad of Kinetic, High-Power Microwave and Laser weapon systems currently used or considered for Counter-UAV (C-UAV) operation though effective in disrupting their performance, might be hazardous when used in a populated area. In this Phase I prog ...

In the field, warfighters are exposed to a complex set of stressors. Increasingly heavier combat loads, extreme environmental conditions, and improper nutrition are a few examples. Unfortunately, the effects on their physical and cognitive performance are not well understood, which can negatively affect the decision-making processes causing tactical errors leading to operational or strategic conse ...

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

Precision Combustion, Inc. (PCI) together with University of Michigan (UMich) proposes a system to use solar energy to convert water to ultra-high purity compressed hydrogen suitable for PEM fuel cells. We will combine UMich’s high efficiency photocatalytic water splitting approach with PCI’s integrated hydrogen separator/compressor. The proposed effort will confirm the avoidance of external e ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

Traditional spherical optics implemented on a common optical axis are the foundation of today’s fielded gunsights for small arms fire control. SA Photonics has helped pioneer the application of precision injection molded freeform optical surfaces in head/helmet mounted display (HMD) systems for augmented reality (AR), virtual reality (VR) and low light level sensor applications. SA Photonics tea ...

We are proposing to design and fabricate an advanced monolithic 3D blade trap, which will be much more powerful and more stable than typical blade traps. Our design will incorporate features that will radically improve the trap operational capabilities over today’s standards. The trapping zone will be cut up into spatially distinctive sections, each of which will be optimized for performing a sp ...