AI- Enabled Robot Swarm

In disaster affected areas, unstable debris, blocked access, and a lack of real-time information frequently make search and rescue efforts more difficult. This paper proposes a centrally coordinated AI-enabled robot swarm to locate survivors in dangerous environments to facilitate safe and quick exploration. Compact robots with short-range wireless communication and necessary sensing units make up the swarm. To ensure effective area coverage and less overlap, a central control system gathers information from individual robots, uses AI-based decision algorithms to process environmental information, and sends out coordinated movement commands. This centralized method makes it easier to assign tasks, allows for global situational awareness and preserves structured movement patterns in cramped or collapsed areas. When compared to single robot exploration techniques, prototypes testing shows better search efficiency, obstacle negotiation, and efficient mapping. The findings demonstrate how centralized swarm control can improve search and rescue operations dependability, speed, and safety.