CTAA: Role-differentiated drone swarms boost survival in threat zones

Navigating teams of unmanned vehicles through environments containing dynamic, adversarial Weapon Engagement Zones (WEZs) poses a fundamental challenge: a single vehicle remains a single point of failure. A new paper by Rajnikant Sharma, Abhinav Sinha, and Isaac Weintraub introduces Collaborative Threat-Aware Autonomy (CTAA), a role-differentiated multi-agent framework that improves team-level mission success probability while managing individual WEZ exposure. The fleet of Autonomous Collaborative Platforms (ACPs) is assigned distinct roles—primary intercept, escort, and decoy—to exploit complementary effects: probabilistic redundancy (N independent paths raise success probability) and threat saturation (lower-priority escorts and decoys draw adversary attention, freeing the primary vehicle to transit uncontested).

Each ACP independently employs a reactive guidance law derived from the Collision Sphere Boundary for Evader Zero-Set (CSBEZ), which accounts for pursuer maneuverability constraints imposed by minimum turn radius. The algorithm steers each vehicle toward the safest heading that also makes progress toward its goal. By combining role assignment with spatial route separation, CTAA provides a scalable, decentralized approach for cooperative threat avoidance. The work, submitted to arXiv on 25 May 2026, is particularly relevant for defense and autonomous logistics applications where unmanned teams must operate in contested airspace.