Robotics and AI in Disaster Management: Saving Lives and Minimizing Damage

Abstract

Disaster management is a critical area where AI and robotics can make a profound difference. This article explores how AI-driven robots and machine learning algorithms can be deployed in natural disaster scenarios to minimize damage and save lives. The paper discusses the use of autonomous drones for aerial surveillance, robots for search and rescue operations, and predictive AI models for disaster forecasting. Real-life case studies from disaster-stricken areas where AI and robotics played a crucial role in rescue operations are presented, demonstrating their potential in enhancing response times and improving coordination during crises.