A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management
Autonomous drone fleets have immense potential in medical supply delivery during disaster incident response. However, coordinating multiple drones in such settings introduces compounding challenges: dynamic environmental hazards such as wind, obstacles, and intermittent network connectivity, constrained energy budgets, and the need to serve patient locations fairly under deadlines and triage-based priority while optimizing schedule utilization. In this paper, we present CEDA, a novel CTDE Deep Q-Network algorithm for cooperative multi-drone medical delivery, designed to jointly optimize triage-priority-aware routing, multi-agent coordination, and energy-efficient navigation under dynamic ...
| Authors | Aneesh Calyam, Subrahmanya Chandra Bhamidipati, Zack Murry et al. |
|---|---|
| Primary category | cs.MA |
| Published | 10 May 2026 |
| Last updated at source | 10 May 2026 |
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