Author

Hao Zhou

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Preprint Oct 2026

Defense-in-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms

Large Language Models (LLMs) increasingly support Uncrewed Aerial Vehicle (UAV) swarm operations such as data collection scheduling, where the model reads structured sensor reports and decides which sensors to visit. An adversary who quietly manipulates those reports can redirect the swarm without modifying the model w...

MohammadHossein Homaei, Yousef Emami, Sajad Homayoun et al. · 0 citations

Preprint Aug 2026

LAPF: LLM-Agent-Based Path Finder Using the UAVScenes Dataset

LAPF is the only evaluated approach that couples every detected hazard to a bounded, metric-neutral corrective action while maintaining near-goal stability, with zero clamp events in both scenarios, whereas CoT prompting increases from 9.7 to 14.0 events.

Yousef Emami, MohammadHossein Homaei, Hao Zhou et al. · 0 citations

#artificial intelligence Jan 2025

Diffusion Models for Smarter UAVs: Decision-Making and Modeling

Simulation results confirm the effectiveness and benefits of DMs in generating neighbor velocity estimates in a four-UAV swarm coordination task using Deep Reinforcement Learning (DRL), and explore the integration of DMs with RL and DT.

Yousef Emami, Hao Zhou, Luís Almeida et al. · arXiv.org · 9 citations