We offer a suite of capabilities to support Manned-Unmanned Teaming (MUM-T) and application of autonomous agents across a variety of operational contexts. Our focus is on team coordination of distributed agents performing mission tasks and realtime sensor fusion to support autonomous decision-making. A key focus of our work is on human operator situational awareness, workload and trust in managing autonomy under uncertain conditions.

VISTA

Visualization Interface for Sensor Team Aggregation

ASAR

Autonomous capability for rapid localization and identification of rescues

IDEAS

Authoring and simulation of swarms

Our training and performance assessment tools apply AI technology to provide cost-effective approaches to address critical challenges in ensuring both individual and team mission readiness. By encoding expert knowledge and experience in AI models, we can increase the efficiency of training and performance assessment with less need for direct instructor involvement.

TrainDX

AI tool for improved assessment of immersive training

Decide

Address the Challenges of Accurate Skills Assessment

SRTS

Leveraging heart rate variability to build resilience

Decision Support and Data Analysis

Timely and effective decision-making under uncertain and dynamic conditions is critical to ensuring desired mission outcomes. we are experts in developing tools and techniques for decision support that can generate Course of Options (COAs) to assist human decision-makers in making effective decision. A key element of our approach is maximizing Value of Information (VoI) and uncertainty management.

JIST

Social Science Prediction Through Survey Data Collection

OssaViz

Immersive and interactive data visualization toolkit

AID-MEDIC

Mobile applications for mass casualty incidents

Electronic Warfare and RF Systems

We develop advance AI/ML capabilities for EW and RF systems to enhance situational awareness in recognizing threats and optimize resilience of RF networks during mission planning and execution. We are also focused on developing systems that comply with emerging MOSA standards for RF embedded systems.