Swarm Robotics for Search and Rescue Operations in Disaster Zones

Abstract

This paper explores the application of swarm robotics in search and rescue (SAR) operations within disaster zones. By leveraging the collective behavior of autonomous robots, the study aims to enhance the efficiency and effectiveness of SAR missions. The research focuses on the integration of Particle Swarm Optimization (PSO) algorithms to coordinate multiple robots in real-time, enabling them to navigate complex terrains, locate survivors, and deliver essential supplies. Simulations demonstrate significant improvements in mission success rates and response times compared to traditional methods. The findings underscore the potential of swarm robotics to revolutionize disaster response strategies.