The management of autonomous drone swarms in dense urban areas remains a significant challenge for modern logistics and emergency response. This study proposes a decentralized multi-agent coordination framework inspired by social insect behavior.
Using distributed consensus algorithms, the research demonstrates how thousands of autonomous agents can safely navigate complex cityscapes without a central controller. The paper evaluates robustness against communication failures and dynamic obstacles, providing a roadmap for city-wide autonomous infrastructure.
