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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: MELATECH, L.L.C. Topic: A19BT010
Melanin-based biomaterials present novel solutions to radiation shielding/countermeasures, camouflage, and insulation, among others. A scalable and sustainable production process for natural melanins is needed to support the R&D and commercialization of melanin-based technologies. MelaTech proposes to develop a fermentation system that involves a novel, rapid melanin isolation process to yield gra ...STTR Phase I 2020 Department of DefenseArmy
SBC: THERMOPYLON LLC Topic: A19BT014
Cost effective and compact thermal energy storage systems that enable passive, non-powered, repeatable storage and release of heat could offer significant tactical and practical advantages for soldiers’ mission execution and success in a deployed setting of cold climates. Sorbent systems can store heat indefinitely, however, current sorbent-based technologies require storage tanks and complex co ...STTR Phase I 2020 Department of DefenseArmy
Mm-Wave Phased-Array Antennas with Ultra-Low-Latency Beam-Forming and Spatial-Filtering for Highly Dynamic and Mobile Satellite CommunicationsSBC: Alcatera Inc. Topic: A19CT006
This project aims to reduce the size and cost of current AEHF front-end by the integration of a compact beam-steering antenna array. The integration consists of novel antenna design, novel steering technique, and a scalable capable architecture.STTR Phase I 2020 Department of DefenseArmy
SBC: PHYSICAL SCIENCES INC. Topic: A19BT009
Physical Sciences Inc. (PSI), in collaboration with the University of Texas, Austin (UT), propose to develop a metasurface-enhanced type-II superlattice (T2SL) imaging detector that achieves significant absorption enhancement for midwave infrared wavelengths (MWIR, 3–5 μm) using an absorbing layer with average thickness that is sub-micron. MWIR imaging is critical need for unmanned aircrafts an ...STTR Phase I 2020 Department of DefenseArmy
SBC: SA PHOTONICS, LLC Topic: A19BT001
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 ...STTR Phase I 2020 Department of DefenseArmy
SBC: REAL-TIME INNOVATIONS, INC. Topic: A19CT004
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 ...STTR Phase I 2020 Department of DefenseArmy
SBC: HIKINO ASSOCIATES, LLC Topic: A19CT004
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 ...STTR Phase I 2020 Department of DefenseArmy
SBC: CHARLES RIVER ANALYTICS, INC. Topic: A19CT004
Warfighters engaged in tactical operations are increasingly reliant on time-sensitive sensor information collected from Internet of Battlefield Things (IoBT) devices at the tactical edge to achieve mission goals. If the information flow is disrupted or the information is not processed correctly, then mission success can be severely impacted. A tactical edge network poses unique challenges for info ...STTR Phase I 2020 Department of DefenseArmy
SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC Topic: A19CT007
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 ...STTR Phase I 2020 Department of DefenseArmy
Machine-Learning Based Sensing and Waveform Adaptation for SDRs Operating in Congested and Contested EnvironmentSBC: Space Micro Inc. Topic: A19CT005
Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...STTR Phase I 2020 Department of DefenseArmy