Aug 2026· Journal of Computers and Applications· 0 citations
TL;DR
The findings highlight the need for harmonized governance, interoperable digital infrastructure, multidisciplinary collaboration, and implementation-focused research to facilitate the safe and effective integration of autonomous technologies into future disaster management systems, with important implications for policymakers, emergency management agencies, humanitarian organizations, and researchers.
Abstract
The increasing frequency, intensity, and complexity of natural and human-induced disasters have exposed critical limitations in conventional emergency response systems, creating an urgent need for rapid, intelligent, and resilient disaster management solutions. Recent advances in autonomous technologies, including unmanned aerial vehicles (drones), autonomous ground vehicles, marine robots, and artificial intelligence (AI)-enabled decisionsupport systems, have transformed disaster operations by enhancing real-time situational awareness, search and rescue, infrastructure assessment, medical supply delivery, and humanitarian logistics. This narrative review critically synthesizes the current evidence on the evolution and applications of autonomous systems across the disaster management cycle, encompassing preparedness, emergency response, recovery, and humanitarian logistics. It examines recent technological advances while evaluating the technical, operational, regulatory, ethical, and economic barriers that continue to limit large scale implementation. Building on these insights, the review proposes the Adaptive Autonomous Disaster Response Ecosystem (AADRE) Framework, a novel conceptual model that integrates AI-driven decision support, heterogeneous autonomous platforms, human expertise, humanitarian logistics, and continuous learning into a unified disaster response ecosystem. The framework provides a scalable roadmap for improving coordination, interoperability, adaptive decision-making, and disaster resilience. The findings highlight the need for harmonized governance, interoperable digital infrastructure, multidisciplinary collaboration, and implementation-focused research to facilitate the safe and effective integration of autonomous technologies into future disaster management systems, with important implications for policymakers, emergency management agencies, humanitarian organizations, and researchers.
Fires and oil spills at sea remain among the most destructive maritime incidents, leading to severe human, environmental, and economic losses. This paper explores the transformative role of unmanned technologies in enhancing maritime disaster response and prevention. It focuses on three key systems: unmanned aerial vehicles (RPASs), Remotely Piloted Aircraft Systems (USVs), and remotely operated underwater vehicles (ROVs). These platforms demonstrate growing effectiveness in search-and-rescue operations, firefighting, and oil spill mitigation by providing enhanced situational awareness, minimising human exposure to hazardous conditions, and improving overall operational efficiency. The study reviews selected case studies and international regulatory frameworks to identify best practices and current technological limitations. Furthermore, it proposes potential pathways for integrating autonomous and remotely operated systems into comprehensive maritime security and emergency management structures. The findings suggest that unmanned systems are a critical component of next-generation maritime safety strategies, offering scalable, adaptive, and risk-reducing solutions to address the increasing frequency and scale of marine fires and pollution events.
Grzegorz Rutkowski, Marcin Stateczny· Zeszyty Naukowe SGSP· 0 citations
A Multi-Agent Disaster Management Simulator that automates the disaster response process using intelligent software agents, machine learning, graph-based routing, and generative artificial intelligence.
Hemanth S, Manoj M, Harisha S, Dr Manjunath B· International Journal of Adv...· 0 citations
This paper analyzes key technological developments, system design approaches, and operational frameworks in areas such as disaster response, autonomous surveillance, firefighting, and emergency medical support and proposes a staged autonomy framework incorporating perception, cognition, control, and coordination modules.
Hiroshi Tanaka· International Journal of Int...· 0 citations
The increasing frequency and intensity of typhoons in recent years due to climate change has heightened the need for rapid post-disaster assessment. Inspection of post-typhoon damage is required to assess damages to critical infrastructure and facilitate disaster management. Unmanned aerial vehicles (UAVs) are commonly used for the recognition of post-typhoon damage. However, existing UAVs require either to be manually teleoperated or to follow a pre-programmed flight path, which is significantly limited in terms of rapid or adaptive post-typhoon inspection. To address this critical limitation, this study introduces a novel agentic AI and aerial robotics-enabled model designed for autonomous inspection operations. We propose a three-layered conceptual framework that closes the perception–cognition–action loop, thereby enabling goal-directed mission reasoning. This framework is operationalized as the Agentic AI and UAV-enabled Autonomous Inspection and Assessment System (AAUIAS)—a comprehensive cyber-physical system architecture. Within this architecture, the core agentic AI layer independently performs world modeling, real-time damage assessment, and dynamic path replanning. The proposed model and system were evaluated through high-fidelity simulations of a typhoon-impacted urban environment. Results demonstrate that AAUIAS reduces overall inspection time by 34.5%–40.2% relative to conventional approaches, achieves robust dynamic obstacle avoidance, and intelligently prioritizes critical damage sites. This preliminary work contributes a conceptual model and system architecture, supported by simulation-based evidence, for transforming UAVs into proactive intelligent agents, thereby advancing the state of the art in autonomous disaster response and resilient infrastructure management.
Liupengfei Wu, L. Geng, Jin Xue et al.· AI in Civil Engineering· 0 citations
The increasing frequency, complexity, and economic costs of disasters worldwide have intensified global demand for robust early warning systems and rapid emergency response mechanisms. Advances in space-based technologies—including satellite imagery, synthetic aperture radar (SAR), remote sensing, and geographic information systems (GIS)—have fundamentally transformed disaster monitoring, situational awareness, and response coordination. In developing countries such as Nigeria, where natural and human-induced disasters including riverine flooding, desertification, oil spills, drought, and coastal erosion occur with alarming regularity, space-derived data offers critical opportunities to strengthen preparedness and response systems. This paper examines the role of space-based data in enhancing early emergency response in Nigeria. It evaluates the institutional structures responsible for disaster management and space technology, including the National Emergency Management Agency (NEMA) and the National Space Research and Development Agency (NASRDA), while analysing their integration within international frameworks such as the Sendai Framework for Disaster Risk Reduction (2015–2030) and the United Nations Platform for Space-based Information for Disaster Management and Emergency Response (UN-SPIDER). Drawing on empirical disaster events, geospatial monitoring practices, and recent peer-reviewed literature, the study demonstrates how satellite technologies—particularly NigeriaSat-1, NigeriaSat-2, Sentinel-1, Sentinel-2, and cloud-based platforms such as Google Earth Engine—enhance situational awareness, hazard monitoring, and emergency coordination. Key challenges including limited technical capacity, inadequate geospatial infrastructure, high cost of high-resolution imagery, and weak institutional integration are critically examined. The paper concludes by proposing strategic policy measures for integrating satellite-derived information into Nigeria's national disaster management framework, with implications for broader sub-Saharan African contexts.
Dr. Emenike John Umesi· International journal of res...· 0 citations
Rapid urbanization and digital transformation processes compel local governments to adopt innovative and data-driven solutions in urban service delivery. Unmanned Aerial Vehicles (UAVs), which have become one of the most strategic components of the smart city ecosystem, are creating a revolutionary transformation in urban governance with their high-resolution data collection and real-time response capabilities. This study aims to analyze the operational roles of UAV technologies in smart cities, focusing on local government applications. Within the scope of the study, the opportunities offered by UAVs in core municipal services such as urban planning, illegal construction supervision, zoning control, environmental monitoring, and traffic management are discussed in detail. Furthermore, the vital functions of UAVs in rapid response, search and rescue, and damage assessment processes during disaster situations such as earthquakes, floods, and fires are evaluated. The study discusses how these technologies accelerate the decision-making mechanisms of local governments, reduce operational costs, and contribute to urban resilience. In the future perspective section, opportunities such as 5G integration, AI-powered autonomous systems, and urban air mobility are analyzed alongside barriers to be overcome, such as legal regulations, data security, and privacy. The conclusion section provides a strategic roadmap for local governments to integrate UAV technologies into their digital service agendas. The study emphasizes that UAV-supported smart city applications are not merely a technological preference but a requirement for a modern and sustainable urban planning approach.
Aslıhan Çiçek· Türkiye İnsansız Hava Araçla...· 0 citations
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