AI-Enhanced UUVs for Disaster Response and Search-and-Rescue Operations

Abstract

The deployment of Unmanned Underwater Vehicles (UUVs) equipped with artificial intelligence (AI) capabilities has the potential to revolutionize disaster response and search-and-rescue operations in aquatic environments. This paper discusses the integration of AI techniques into UUVs to enhance their situational awareness, decision-making, and autonomous navigation capabilities during emergency scenarios. We explore various AI methodologies, including machine learning, computer vision, and natural language processing, to improve the effectiveness of UUVs in locating victims, assessing damage, and coordinating rescue efforts. Case studies illustrate the practical applications of AI-enhanced UUVs in recent disaster response missions, demonstrating significant improvements in operational efficiency and mission outcomes. This research contributes to the development of intelligent underwater systems that can effectively support disaster response efforts and save lives.