AERONAUTICAL DRONES, PART 2: CURRENT APPLICATIONS AND TRENDS

AERONAUTICAL DRONES, PART 1: CURRENT STATUS AND TRENDS

Unmanned aerial vehicles (UAVs), commonly referred to as drones, have become an essential component of modern aerospace systems due to their fast expansion across civil, commercial and military applications. Advances in lightweight materials, miniaturized electronics, navigation systems and manufacturing technologies have enabled the development of increasingly capable platforms ranging from small multirotor drones to high-altitude long- endurance aircrafts. This paper reviews the current status of the global drone sector by examining market evolution, industrial development and the principal regulatory frameworks governing UAV operations. A technical classification of drone configurations is presented, including fixed-wing, rotary-wing, hybrid VTOL and mission-oriented categories, highlighting their operational characteristics and engineering trade-offs. Representative civil and military platforms are comparatively analyzed in terms of range, payload, endurance, cost and mission capability in order to illustrate current technological trends. Attention is also given to structural materials and manufacturing technologies employed in modern UAV design (composite materials, lightweight alloys, additive manufacturing and modular construction concepts). The analysis shows that progress in materials engineering and airframe design, together with the diversification of operational requirements, is driving the development of increasingly efficient, specialized and adaptable unmanned aircraft. These trends confirm the importance of UAV technologies within the evolving aerospace industry.

The Evolving Landscape of Unmanned Aircraft Systems: A Review of Current Challenges and Future Scenarios

Today (mid-2026) UASs are a mature technology, quickly expanding, with two distinct tracks: a civil/commercial ecosystem that is moving from hobbyist and line-of-sight ops toward scaled commercial BVLOS and logistics, and an advanced industrial ecosystem that is rapidly adopting increasingly autonomous, networked, and innovative drone types (from tactical ISR to loitering, delivery, and swarm concepts). Regulators (FAA, EASA, and national authorities) are actively updating rules to enable safe BVLOS and integrated operations; at the same time, demand for counter-UAS capabilities is surging. This study presents an extensive review of UAV technologies, outlining their applications in both civilian and industrial domains. It further analyzes principal use cases alongside the related technical and operational challenges. Moreover, prospective research directions are proposed with the aim of advancing the technology framework. The insights provided are intended to offer meaningful guidance and inspiration for researchers in this area. The paper also emphasizes the existing framework while discussing potential future developments.

State-Adaptive Autonomous Drone Systems for Energy Infrastructure Inspection

The increasing use of Unmanned Aerial Vehicles (UAVs) in energy-sector operations- such as pipeline inspection, infrastructure monitoring, and remote asset surveillance- has highlighted critical limitations in predominantly manual and semi-automated drone systems. While current UAV deployments offer improved safety and efficiency over traditional inspection methods, their dependence on continuous human control and stable communication links restricts scalability, resilience, and operational autonomy in complex or hazardous environments. This paper presents a conceptual framework for (state) adaptive autonomous UAV systems designed to address these limitations. The proposed approach emphasizes the integration of intelligent sensing, perception, decision-making, control, and communication as coordinated layers capable of adjusting to changing operational conditions. Rather than focusing on specific implementations, the framework outlines how autonomy-driven design principles can enhance UAV reliability, reduce human intervention, and improve operational continuity in energy-sector applications. By positioning autonomy as a critical enabler rather than an optional feature, this work aligns with ongoing digital transformation and energy transition efforts. The paper discusses potential application scenarios within oil and gas, power infrastructure, and renewable energy systems, and highlights key challenges related to regulation, system validation, and future deployment. The proposed framework provides a foundation for further research and development toward resilient, intelligent UAV operations in the evolving global energy landscape.

A Review of AI-Enabled UAV-Based Systems for Defense Applications

Unmanned aerial vehicles have become indispensable components of modern defense systems by conducting Intelligence, Surveillance, and Reconnaissance (ISR) missions to collect critical operational information through onboard sensing technologies, supporting secure communication and information sharing among distributed military assets, and enhancing battlefield situational awareness through real-time sensing and data fusion. In addition, UAVs are increasingly capable of executing a wide range of defense missions, including target search and tracking, electronic warfare, search-and-rescue, and combat support. The integration of AI into UAV-based systems has the potential to enhance these operational capabilities by enabling intelligent perception, autonomous decision-making, adaptive mission planning, autonomous navigation, resilient communications, and cooperative multi-UAV coordination, thereby enabling the autonomous and collaborative execution of complex defense missions. This paper presents an up-to-date review of AI-enabled UAV-based defense systems, focusing on major operational domains including autonomous air combat and cooperative UAV operations, path planning and autonomous navigation, target tracking/detection/classification, cybersecurity, electronic warfare protection, and resilient UAV operation. In addition to surveying the recent literature, this paper provides an integrated system architecture, a functional classification framework, and an analysis of the AI paradigms enabling next-generation UAV-based defense systems. Furthermore, this review synthesizes the key technological trends, lessons learned, and cross-domain research challenges identified across the reviewed studies, providing a unified perspective on the current state of the field. Finally, this paper highlights promising future research directions for resilient, scalable, secure, and intelligent next-generation AI-enabled UAV-based defense systems.

Research on Structural Improvements of UAVs under Extreme Weather Conditions

Analysis of Critical Issues in the Assembly and Deployment Techniques of Unmanned Aerial Vehicles

With the complexity of chemical warfare threats and the diversification of battlefield environments, traditional toxic agent detection methods are facing bottlenecks such as response delays, coverage blind spots, and personnel safety risks. This research focuses on the application of unmanned aerial vehicle (UAV) carried toxic agent sensor systems, aiming to analyze the methods of mounting and deploying the sensors on the UAVs, and to construct a rapid response, high-precision, and highly resistant toxic agent monitoring system. Its significance lies in two aspects: 1. Tactical value: It breaks through the time and space limitations of manual reconnaissance, realizes real-time dynamic perception and early warning of toxic agent contamination, and provides key decision-making support for battlefield command; 2. Application expansion: The research results can be transferred to counter-terrorism, nuclear, biological, and chemical emergency response fields, providing theoretical support and engineering paradigms for the development of unmanned and intelligent chemical defense equipment.