Award Data

While the last decade has seen explosive growth in the number of small satellites being launched into Low Earth Orbit (LEO) for a variety of use-cases, there is a critical need to increase the degree of autonomy through use of “edge intelligence” for data processing and fusion on the collection platform itself (vs. transmitting large amounts of raw information to the ground for “after-the-fa ...

This Phase II work will develop a methodology for radiation hardness testing of microelectronics. This methodology includes understanding of device physics and irradiation sources, as well as utilization of irradiation facilities and dosimetry of irradiated microelectronics. The methodology necessarily incorporates design of testing procedures, development of experimental setups including microele ...

The importance of situational awareness cannot be overstated in its relation to all players within the missile defense community. Early and deep understanding of the situation surrounding a particular asset can be the difference in mission success. Consistent communication enables a deep understanding of the Blue Force/Red Force laydown and ensures consistency in a threat annihilation approach. Th ...

ATA’s proposed innovation is SPOT-lyt, the Streaming Platform for Object Tracking Analytics, a system for real-time and forensic tracking and analysis of moving objects with cutting-edge capabilities in data fusion, simulation, machine learning, and streaming analytics platform operations. For Phase II of this SBIR effort, we propose to use the prototype developed during Phase I as the foundatio ...

DoD and its industrial base are moving from a document centric system engineering approach to Model Based System Engineering (MBSE) Extensive effort is required to manually generate architecture models for legacy systems defined in disparate sources. An efficient, cost-effective, automated approach is needed to generate system architecture models for legacy systems from all its disparate sources o ...

To meet the need for greater duration, higher altitudes, and longer time of flight, solid propulsion systems will require greater impulse and thrust, primarily achieved through the increase of solid propellant burn temperatures. There is a need for new extreme environment materials for solid rocket motors. To address this need, Luna Labs has designed, tailored, and developed an ultra-high temperat ...

Through this MDA Phase I STTR program, NanoSonic shall work with the high energy laboratory at Penn State and with input from a major US integrator of hypersonic vehicles to develop improved high temperature radome materials for uncooled aerodynamic reentry and hypersonic vehicles. Through prior work, NanoSonic has developed and demonstrated high temperature materials with good thermal insulating ...

NanoSonic will work with Penn State to develop inexpensive automated manufacturing processes for the production of ceramic matrix composite thermal protective system materials with high temperature thermal performance and high thermal insulation propertiesWe will fabricate materials using automated robotic production methods, and perform testing, including high energy irradiation at Penn State’s ...

Simulations are designed to reproduce the behavior of end-to-end systems or their critical components. When designed under a stochastic framework, they enable us to identify ensembles of possible system evolutions and their associated uncertainties and sensitivities of outputs relative to the inputs. When the intent is to reproduce sensor observations they need to account for the sensor and data p ...

Cynnovative proposes Explainable Deep Reinforcement Learning with Symbolically Guided Transitions (X DRLSGT) to improve the transparency and, thus, the explainability of deep reinforcement learning (DRL) algorithms. The inability to understand the reasoning behind an Artificial Intelligence’s (AI) decision is a major limiting factor that prevents AI-enabled physical systems from being deployed a ...