Nguyen Xuan-Mung

About

Dr. Nguyen Xuan-Mung is a rising researcher in autonomous aerial robotics, with a primary focus on the control and navigation of quadcopters and nano quadcopters. His work addresses fundamental challenges in this domain, including dynamical nonlinearity, actuator saturation, and sensor noise—issues that have long hindered the development of robust, real-world drone systems. Dr. Xuan-Mung’s most notable contribution is the development of an end-to-end deep reinforcement learning-based low-level controller for nano quadcopters, a pioneering approach that bypasses traditional, time-consuming modeling and tuning processes. This work, published in 2024, demonstrates a novel pathway to achieving stable, adaptive flight in highly constrained platforms. While his citation count is still growing, the innovative nature of his research signals strong potential for future impact in the fields of machine learning and robotics. Dr. Xuan-Mung’s work is particularly relevant for students and researchers interested in the intersection of reinforcement learning and real-time control systems, offering a glimpse into the next generation of intelligent, autonomous aerial vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   End-to-End Deep Reinforcement Learning-based Nano Quadcopter Low-level Controller

   1 citations · 2024

Key Collaborators

Contact & Links