Towards intelligent, reliable UAV networks: commentary on “advances in unmanned aerial systems: technologies, applications, and challenges”

Abstract

The low-altitude economy is transforming unmanned aerial vehicles into intelligent, networked agents. This commentary synthesizes the contributions of the Special Issue into four thematic areas. Health-management frameworks employ adaptive memory matrices, probabilistic diagnostics, and simulation to enable in-flight predictive maintenance. Perception and navigation systems fuse light detection and ranging data, intensity cues, vision, and inertial inputs to achieve Global Positioning System (GPS)-resilient localization and mapping in feature-sparse or degraded environments. Swarm communication combines decentralized multi-agent reinforcement learning with lightweight blockchain protocols to secure real-time policy exchange while balancing throughput, fairness, and energy efficiency. Resilient air-ground connectivity couples scenario-transfer neural channel models with joint trajectory and power optimization to sustain millimeter-wave links across diverse urban geometries. These advances outline an emerging unmanned aerial vehicle ecosystem, yet interoperable standards, trustworthy Artificial Intelligence (AI), renewable power integration, and large-scale field validation remain critical challenges to achieving truly scalable, autonomous, and sustainable operations.

Keywords

Unmanned aerial vehicles (UAVs) / health assessment / autonomous navigation / UAV swarm / air-ground link

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