European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Autonomous System for Disaster Response & Recovery

Abstract

Disaster response and recovery require rapid decision-making, resource coordination, and human resilience, often in highly hazardous environments. Autonomous systems, integrating artificial intelligence (AI), robotics, unmanned aerial vehicles (UAVs), and the Internet of Things (IoT), have demonstrated immense potential to enhance operational efficiency, minimize risks, and save lives. This paper explores the advancements in autonomous technologies for disaster response, presenting real-world applications, challenges, and ethical considerations. Through a multidisciplinary lens, the paper examines case studies, highlights technological limitations, and suggests pathways for future innovation. Collaboration among technologists, policymakers, and humanitarian organizations will be pivotal in unleashing the full potential of autonomous systems in disaster management. Notable examples include UAVs providing rapid damage assessments following earthquakes and AI-driven systems optimizing medical supply distribution during pandemics.

Keywords: Disaster, Response, autonomous system, recovery

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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