Media Blasting Deadman-switch Design, Testing & Production
SBIR Phase III continuation for Ergo-Blast plastic media blast trigger design improvements, prototype testing, and manufacturing of 30 updated triggers and grips.
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SBIR Phase III continuation for Ergo-Blast plastic media blast trigger design improvements, prototype testing, and manufacturing of 30 updated triggers and grips.
Develop a low-cost "acoustic rainbow emitter" to attach to a UAS, reducing its acoustic signature and increasing its survivability in contested environments. This technology aims to counter the growing prevalence of acoustic sensors on the battlefield for improved ARSOF UAS mission success.
Seeking an acoustic communication system for drone swarms that uses propeller noise to share position data. This technology will enable decentralized swarming by allowing drones to autonomously maintain formation through sound-based communication.
Onboard AI algorithms are sought to enable autonomous satellite decision-making for space domain awareness and battle management in contested environments. This research aims to improve real-time responsiveness and reduce kill-chain latency for resilient, networked satellite systems.
Seeking affordable midwave infrared (MWIR) sensors for a missile-tracking satellite constellation, enabling persistent threat detection from low Earth orbit. Proposals should offer cost-effective designs suitable for large-scale deployment, improving upon current technology for proliferated space-based missile defense.
Adaptive test planning software needed to optimize evaluation of LEO satellite constellations. The tool should leverage evolving system knowledge and Bayesian methods to prioritize impactful tests and reduce redundant efforts in fast-paced space acquisition.
Develop advanced satellite de-orbiting technologies to enable commercial servicing solutions for problematic spacecraft in low Earth orbit. The goal is to create universal capture mechanisms, autonomous rendezvous capabilities, and design innovations that reduce orbital debris risks for proliferated satellite constellations.
A secure, modular data fusion platform for Proliferated Low Earth Orbit (pLEO) satellite constellations that enables real-time multi-source intelligence processing and AI-driven analytics. The solution aims to enhance mission decision-making by providing a flexible, zero-trust environment for rapid data integration and third-party tool evaluation across diverse space operational contexts.
A card-based mobile interface to unify Space Force technology insights, enabling real-time tracking of emerging S&T trends and strategic investment opportunities across commercial and government ecosystems. The platform will consolidate fragmented data sources, empowering stakeholders to proactively identify, assess, and collaborate on cutting-edge space innovations.
ALIAS autonomy applications for UH-60 helicopters aim to enhance emergency services and wildfire suppression by enabling real-time decision-making and minimally-supervised aerial operations. The technology seeks to improve response times and mission effectiveness through advanced autonomous capabilities for complex tasks like medical evacuations, reconnaissance, and cargo transport.
A mobile card-based interface that leverages machine learning to automatically detect and quantify subtle animal behavioral changes, enabling more sensitive and unbiased assessments of chemical and biological threat responses at lower effect thresholds. This platform aims to accelerate medical countermeasure development by providing high-throughput, nuanced behavioral profiling technologies for defense research.
A compact laser-driven electron accelerator seeks to revolutionize radiation hardness testing for space electronics by generating high-energy electron beams in a small footprint. The technology aims to provide a more accessible, cost-effective alternative to large-scale accelerator facilities, enabling comprehensive single-event effect testing for microelectronic systems.
A comprehensive security assessment framework for secure messaging applications (SMAs) to identify and mitigate vulnerabilities in cryptographic protocols and software architectures. The research aims to develop actionable tools and models that enable developers and users to understand and defend against emerging threats in encrypted mobile communication platforms.
Develop innovative signal detection techniques using existing sensors to identify and track weapons of mass destruction (WMD) across military and commercial platforms. The solution aims to enhance WMD threat detection capabilities by leveraging common hardware like microphones, cameras, and infrared sensors more intelligently and cost-effectively.
Develop an innovative 200-mm GaN-on-Si technology platform to enable monolithic integration of high-performance RF frontend components like low-noise and power amplifiers. The solution aims to address current limitations in scalable semiconductor technologies for advanced radar, communication, and mobile applications.
Microphysiological systems (iMPS) offer a breakthrough in vaccine development by modeling human immune responses in vitro, bridging the gap between preclinical studies and clinical trials. By accurately predicting vaccine immunogenicity, efficacy, and potential side effects, iMPS can accelerate medical countermeasure discovery for emerging threats to military personnel.
Distributed protein production enables rapid, on-demand biologics creation across therapeutic, vaccine, and diagnostic domains. This innovative approach eliminates cold-chain logistics, accelerates development, and provides flexible scaling for critical medical and research applications.
Mobile diagnostic card interface for rapidly synthesizing stable nucleic acid reagents in extreme field conditions, enabling point-of-need test development without cold storage requirements and supporting molecular assay generation across challenging environmental scenarios.
A mobile card-based interface that rapidly synthesizes complex battlefield data, enabling warfighters to quickly visualize and communicate critical information across chemical, biological, and dynamic operational environments. The solution aims to enhance situational awareness and decision-making by simplifying information integration through an intuitive, user-centric design.
Develop advanced, rapidly manufactured CBRN sensor technologies that can be produced closer to operational environments. These flexible sensing capabilities aim to reduce complex supply chain dependencies and enable faster, more resilient chemical, biological, radiological, and nuclear detection at the point of need.
Develop a compact, lightweight microsensor for rapid chemical threat detection across diverse operational environments. The deployable system enables real-time identification of chemical weapons agents through innovative sensing technologies, supporting enhanced situational awareness and mission command decision-making.
Develop portable, lightweight SERS sampling tickets to enhance chemical and biological threat detection for military personnel, enabling more sensitive and selective identification of materials with minimal sample requirements compared to current handheld Raman detectors. These innovative coupons address variability challenges in spectroscopic measurements, providing a compact solution for rapid threat assessment in specialized CBRN units.
Advanced respirator design aims to reduce breathing resistance and particulate exposure for military personnel in high-pollution environments. The solution focuses on regenerable filtration technologies that enhance comfort and protection during extended wear and high-intensity operations.
Seeking innovative Li-ion battery solutions for advanced 6T technology that enhance energy density and performance. The goal is to develop more efficient, compact battery systems that address current limitations in portable and high-demand electronic applications.
Develop a low-cost Ka-band metamaterial-based electronically scanned array radar for test and training environments. The innovative design aims to reduce production costs while maintaining high performance for emulating threat representative systems.
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