Open access
Sep 2026
AutoRL: A Tightly Synchronized ROS2–Gazebo Pipeline for Offline-Trained Reinforcement Learning-Based Multirotor Attitude Control
This paper proposes AutoRL, a high-fidelity Robot Operating System 2 (ROS2)–Gazebo simulation pipeline that addresses a critical reproducibility gap in learning-based flight control: existing reinforcement learning (RL) frameworks for unmanned aerial vehicles (UAVs) lack deterministic, step-level coupling between contr...
Khaled Jarrah, O. Rawashdeh
· Aerospace · 0 citations