Lognam-Huang

Digital-twin-assisted meta reinforcement learning framework for adaptive multi-UAV placement and navigation in low-altitude wireless networks.

Meta Reinforcement Learning framework for coverage optimization and maintenance of 3D UAV (FANET) networks, built on a Sionna-based digital twin.

A small-scale physical–digital twin framework for multi-drone systems based on Crazyflie and Loco UWB localization. The framework integrates real-time localization, multi-agent control, and experiment-level data logging, enabling reproducible research and closed-loop control with real micro aerial vehicles.