Minh-Due Hua

About

Minh-Due Hua is a leading researcher in robotics and control systems, with a primary focus on state estimation, sensor fusion, and inertial navigation. His work addresses critical challenges in estimating a robotic vehicle’s pose—including position and attitude—by integrating data from cameras and Inertial Measurement Units (IMUs). His most-cited paper, “Riccati Observer Design for Pose, Linear Velocity and Gravity Direction Estimation Using Landmark Position and IMU Measurements” (2018, 26 citations), revisits and refines the problem of combining stereo camera landmark data with IMU readings. This paper stands out for its rigorous Riccati observer design, offering a theoretically grounded and computationally efficient solution that improves accuracy and robustness in real-world robotic applications. Hua’s contributions are particularly valuable for autonomous systems operating in GPS-denied environments, such as underwater or aerial vehicles. His work has been cited by researchers advancing visual-inertial odometry and simultaneous localization and mapping (SLAM), underscoring its impact on modern robotics. Through his innovative observer designs, Hua has helped bridge the gap between theoretical control theory and practical sensor fusion, making him a notable figure in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   Riccati Observer Design for Pose, Linear Velocity and Gravity Direction Estimation Using Landmark Position and IMU Measurements

   26 citations · 2018

Key Collaborators

Contact & Links