Award Data

Cobalt is developing a Conversational Artificial Intelligence (ConvAI) for use by maintenance technicians to support final inspection procedures for the F-15E engines. - Focus Area: 16 – Immersive Training Solutions. - User Need: 16 – Machine-Assisted Engine Inspection The ConvAI system is an adaptive tool based on deep learning techniques that will guide a technician through a compl ...

FishEye will revolutionize complex system sustainment by eliminating data post-processing and move analysis into real-time. The innovative approach automates access to complex legacy data and metadata through open and commercially available scientific file format called HDF5. The technology radically accelerates the time analyst spend waiting for results to change the pace of large complex system ...

AST’s hybrid modular systems work by spontaneously creating surface domains of desired chemical functions to control ice nucleation, surrounded by a durable and low surface energy matrix to enhance ice removal via reduction of ice adhesion force and promotion of interfacial crack propagation.

ASI is developing a LEO-based hybrid RF-optical data-relay network to augment satellite communications capabilities. Such a network increases the amount of remote sensing data that can be offloaded and reduces latency from image acquisition to terrestrial reception and analysis. It accomplishes this by forwarding the data through a relay network of ASI satellites for downlink to an available and s ...

Lumineye provides wall-penetrating radar to help first-responders and soldiers identify people and threats through walls. We propose investigating the utility of our existing through-wall sensor for the Air Force Security Forces. Our device focuses on improving the situational awareness of the AFSF in all law enforcement, emergency response situations, and combat missions. The system will improve ...

The increasing use of unmanned aerial systems (UAS) in operational settings presents opportunities to provide US Forces with a tactical advantage over adversaries, particularly in conducting intelligence, surveillance, and reconnaissance (ISR) to improve situational awareness. Today, most UAS in service are standalone vehicles that are piloted remotely. However, the use of autonomous swarms in the ...

SSCI proposes an air to air system to detect, positively identify, accurately localize, and follow drone targets (DoD Group 1 small UAS, sUAS) using a lightweight software/hardware payload for sUAS. By putting sensors and automation onboard sUAS, the system can maneuver to achieve higher pixels-on-target and better viewing geometry than ground sensors, enabling positive identification and automate ...

Triton Systems will develop an ergonomic remote control switch for the Air Force’s use in plastic media blasting operations. This ergonomic switch will reduce the grip forces required for both activating and sustaining media blasting, reducing operator strain and the incidence of injuries. Triton’s solution will meet or exceed all applicable workplace regulations and be suitable for ...

SSCI and ASU (Prof. Nancy Cooke) propose to develop SHADE (Shared Awareness in Denied Environments) - a comprehensive decision support tool which will facilitate smooth mission execution under information degradation and losses in mixed initiative teams (MIT) involving collaborating autonomous vehicles. In Phase I we propose to perform initial development, integration and testing of the SHADE tech ...

Intuitive mission displays and planning capabilities are needed to enhance pilot and operator situation awareness when teaming with next-generation autonomous vehicles in tactical operations. To address this, we will design and demonstrate Tactical Interfaces for Teaming with Autonomy (TITAN) to increase the shared awareness for manned/unmanned teams in distributed and complex communications envir ...