We explore how UxS operate in degraded, denied, intermittent, and limited (DDIL) environments where communications and navigation are contested. Our research focuses on resilient control architectures, mesh networking, and adaptive autonomy that enable UxS to sustain missions under disruption.

We study swarm behaviors that allow UxS to act collectively as adaptive, coordinated agents in dynamic operational spaces. By combining AI-driven decision models with human-in-the-loop oversight, we analyze how swarms can conduct synchronized reconnaissance, deception, or non-kinetic influence at scale.

Our research investigates the feasibility and behavioral impact of infrasonic emissions from unmanned platforms. We assess both natural and engineered acoustic phenomena to better understand how low-frequency sound can affect human perception, environmental sensing, and non-lethal area influence operations.

We examine the intersection of unmanned systems and human-machine interaction (HMI). We focus on intuitive control, cognitive workload management, and AI transparency—ensuring operators can effectively coordinate multiple autonomous systems while maintaining ethical and operational awareness.