Award Data

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Shelter system technologies provide vital support to U.S. military personnel during in-theatre operations and peace-time continuity. Soldiers, logistics experts, and decision makers across the chain of command require shelter systems that perform in austere environments while also being cost-effective, resilient, durable, and easily maintained. For land-based conflicts in more remote locations and ...

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Robust collaboration is needed between different agents in various Unmanned Aerial/Ground Systems (UxS).  ML/AI development has enabled development of a graph neural network (GNN)-based swarm control algorithm.  Clostra’s GNN-Swarm uses a GNN framework for mapping relationships between all members of a UxS swarm, and deep reinforcement learning (DRL) for organizing, training, optimizing, and ...

For this Phase I SBIR project, Vcom3D will research and design a modular Mixed Reality (MR) medical manikin training system that builds on the Modular Healthcare Simulation and Education System (MoHSES) specifications and open-source resources. We will develop and demonstrate a proof-of-concept Mixed Reality Trainer for Female Combat Casualty Care (MRT-FC3) system that shows the concept of operati ...

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There is no single clinical simulation system on the market today that can replicate all the clinical tasks required for proficiency for Role 1 providers specifically for female trauma training. Clinical training centers use a variety of different instructional systems including manikins and virtual reality systems. Many of these systems were commercially produced using proprietary technology, lim ...

Compotech, Inc. seeks to build on our award winning FRAG-CT munition characterization method by developing a new complementary software and hardware package to provide rapid, real-time defect detection at the heart of a munition’s explosive core.  The detection technique leverages proven AI/ML detection software algorithms and high speed CT scanning equipment.