uav

This paper proposes a CKM-driven framework for multi-UAV trajectory planning in urban inspection, using diffusion models to reconstruct high-fidelity channel quality maps and a graph attention network with soft actor-critic algorithm for communication-aware path planning.

MIT researchers have developed a new system-on-a-chip that enables tiny robots to create detailed 3D maps of their environments in real-time using only about 6 milliwatts of power, potentially enabling long-duration autonomous navigation in complex spaces.

Proposes AE-YOLO, an attention-guided autoencoder-enhanced YOLO framework for robust insulator defect detection in UAV transmission-line imagery, achieving 95.10% [email protected] and outperforming YOLO baselines by 5 points.

The paper presents an agentic AI framework that leverages large language models and chain-of-thought reasoning to optimize UAV-assisted logistics scheduling with mobile edge computing, aiming to improve efficiency and resource allocation in manufacturing logistics.