Award Data

The US military envisions the fielding of large numbers of unmanned air vehicles in the near future that will work in collaboration with existing fixed and rotary aircraft to detect, locate, and defeat enemy forces. These manned-unmanned teams (MUM-T) require networking technologies to support exchanging full-motion video, metadata and voice for situational awareness and control of unmanned air ve ...

The Navy’s mission of global force projection and logistic support requires surface ships and naval aviation assets to be deployed worldwide with little supporting infrastructure for communications. Airborne units provide extended line of sight for network connectivity between surface vessels as well as contributing unique sensor capabilities. The use of unmanned aerial systems (UAS) as airborne ...

To address the Navy’s need for artificial neural networks (ANN)-centric reinforcement learning (RL) algorithms that provide unmanned aerial vehicles (UAVs) with the capability to autonomously conduct flight from takeoff to landing, Physical Optics Corporation (POC) proposes to develop a new Reinforcement Learning Algorithms for Unmanned Aerial Vehicles (REALUAV) algorithm suite. It is based on a ...

UAVs tasked in complex, uncertain environments need the ability to act dynamically and autonomously to changing conditions. Deep reinforcement learning can play a critical role in the decision making process, melding the mission/tasking parameters, scene understanding, and human-in-the-loop inputs for intelligent autonomous navigation that is robust in the face of latency, broken communication, an ...

Research Proposed: Building off of the successful Phase I design effort, research is proposed to develop an innovative condition-based maintenance (CBM) data collection, analysis, offload, prognostic and diagnostic system for implementation on the combatant craft platform. Problem Statement: Capturing CBM data in an efficient manner is key to maintaining accurate predictions of vehicle health. Whi ...

Cybersecurity remains a top priority for the Military Health System (MHS). In SBIR Phase II research and development (R&D), Management Sciences, Inc. (MSI) has developed and demonstrated a cyber-secure prototype Multi-Level Security (MLS) software upgrade

This Phase II Small Business Innovation Research project develops the scale of lithium-ion direct recycling technologies applied to gain efficiencies in materials management from original manufacturing to end-of-life. The scrap materials are from Defense Logistics Agency manufacturing activities. A successful effort moves direct recycle TRL from 4 to 6, increases process throughput, qualifies mate ...

Awarded Phase I and having completed the Phase I concept and feasibility study of the innovative development of a tool, Thru-Lens Fiducial Marking, that can be integrated into an IR microscope that is able to create fiducial marks on the surface of the backside of silicon, we now propose to embark on Phase II, or implementation of said technology. The current state-of-art in semiconductor device ...

In this D2P2 effort, AlareTech will demonstrate a man-portable Group 2 VTOL UAS, the MX4-LE, capable of flight endurance greater than 60 min and able to carry more than 10 lbs payload in addition to network IP addressable common data link radios and military grade EO/IR ISR payloads. The MX4-LE represents a significant increase in performance and versatility over similar Group 2 systems. The opera ...

Based on success in the Phase I development of achromatic lens technologies to reduce the space and weight of optical systems, Physical Optics Corporation (POC) proposes to continue the development of a Single Element Achromatic Lens (SEAL) technology. The SEAL comprises a monolayer dielectric nano-antenna array, which is thin (