Award Data

A comprehensive technical training software platform combining computer vision and Augmented Reality (AR) technologies can transform the human learning process and experience. Computer vision is leveraged to understand the physical environment, while AR is used to superimpose contextual information onto the physical world. We aim to provide software solution using AR tools and systems to address s ...

Designing actuation hardware for autonomous systems is challenging due to the high weight and power consumption of conventional actuators and clutches. Compared to existing clutch technologies, the electroadhesive clutches produced by ESTAT have exceptional holding force as a ratio of both mass and power consumption. They weigh 10x less and consumes 1000x less power than other clutching technologi ...

Virtual EM and Case Western Reserve University are teaming to propose a standoff cardiopulmonary sensing technology to aid remote monitoring of airman and others ' physiological state of health both in the field and in the office environments. While the pulmonary sensing unit could be operated meters away, the cardio signals are picked up in closer proximity to the body.

Palm-sized unmanned aerial systems (nano UAS) weighing tens of grams have evolved to the point where they are becoming useful to the warfighter. However, their small mass, fragility, and limited batteries still necessitate the use of emerging, low mass/power technologies to meet the full range of potential missions, including new autonomous flight control and collision avoidance strategies, struct ...

From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...

We propose to detect and identify moving objects in airborne imagery and full-motion video in unconstrained environments. Conventional techniques result in too many false positives; a new topology is needed to automatically detect and identify moving targets from a moving platform in airborne imagery. Our software is designed to analyze video imagery and deliver curve metadata that can be organize ...

The objective of this effort is to develop a zonal, multi-physics modeling framework for dynamic combustion processes that can capture relevant local physics and simulate system behavior. The primary focus will be on liquid rocket combustors with secondary application to gas turbines. The goal is to obtain an order of magnitude reduction in current simulation time within acceptable error limits. T ...

NDI of composite Pi/T-Joints presents significant challenges to existing inspection technologies resulting in a barrier to implementation in production. We will investigate feasibility of developing an active thermography NDI solution for real-world inspection of composite structures with T / Pi- joints during the manufacturing process (both green and cured states). Based on the extensive experien ...

SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...

ABSTRACT: Remarkable advances in artificial intelligence (AI) and human-systems integration are providing aircrew with cockpit automation systems of unprecedented sophistication. Onboard intelligent assistants monitor the aircraft, interpret and carry out pilot commands, and advise the pilot (onboard or remote) as to aircraft and system status, mission progress, threats and alerts. Because pilots ...