Award Data

To deal with the increasingly complex, dynamic and unpredictable operational environments of the 21st century, unmanned and autonomous system, sensor, and vehicle technologies are being expanded and improved. For example, unmanned air, ground, and maritime systems provide an expanding set of capabilities, such as intelligence, detection, security, targeting, and strike, while reducing the risk to ...

The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...

The commercial marketplace has made tremendous advances in Virtual Reality (VR) technology and product maturity. VR is being used to enhance training in a number of areas including maintenance and operation of complex systems, but application of this technology to the training of dismounted soldiers has proven challenging. Fortunately, these advancements in VR technology now make possible the deve ...

A critical step in the extraction of elements from ore, especially rare earth elements that are found in complex minerals, is separation. Froth flotation is a highly versatile method for physically separating particles based on differences in the ability of air bubbles to selectively adhere to specific mineral surfaces in a mineral/water slurry. The particles with attached air bubbles are then ca ...

To address the OSD’s need for a new set of algorithms to detect, classify, recognize, and identify all potential targets within the engagement range of small-caliber weapon systems, Intellisense Systems, Inc. (ISI) proposes to advance the development of the new Small Arms Neural-Network Automatic Target Classification (SANATA) system that was proven feasible in Phase I. The SANATA technology int ...

Human-autonomous system interaction is frequently limited by lack of confidence and trust among the (combined) team. In order to have humans collaborate effectively with autonomous systems, improved interfaces and interaction techniques, and frameworks of interaction must be developed that allow for a common perception of the goals, constraints, resources, and other variables relevant to the team ...

Video Demonstration of the Phase I Prototype: http://youtu.be/AIGigEXn12Q Purpose: This project team will develop and test Zaption, a mobile and desktop platform designed to support educators in effectively and efficiently utilizing video (e.g., from YouTube, Vimeo, or their own desktop) as an interactive teaching and learning object. Personalized learning devices (e.g., smartphones, tablets) pop ...

Teachley Connect will be a mobile tablet-based platform that uses games to give elementary schools rich formative assessment data and intervention support. Teachley Connect will permit students to continue playing exactly where they left off on any tablet. The platform will also connect apps into a single teacher dashboard, providing teachers detailed reports on student performance across games, w ...

The final product will include a suite of three app-based puzzle games aligned to national math standards for number sense, algebraic thinking, and problem solving. The games will be designed for use in grade 5 and 6 classrooms where students develop and apply content expertise to solving challenges. The games will include an adaptive engine that assesses and adjusts content based on student level ...

This project will fully develop an early childhood holistic assessment platform that combines observation and direct (game-based) tools to assess the school readiness of individual children. This approach will reduce the assessment burden for teachers and provide usable data to improve instruction in real-time. The games are intended for low-stakes assessment – children interact with the adaptiv ...