Zhaoqin Liu

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About

Zhaoqin Liu is a researcher specializing in autonomous navigation, visual SLAM, and mobile robotics, with a focus on developing robust localization systems for challenging environments. Their work bridges the gap between theoretical control methods and practical applications in astronaut assistance and wheeled robot autonomy. Liu’s most cited paper, "Enhanced Monocular Visual Odometry Integrated with Laser Distance Meter for Astronaut Navigation" (2014, 18 citations), introduces a compact monocular vision system augmented with a laser distance meter to improve position and orientation accuracy for astronaut navigation—a critical innovation for wearable, low-power systems. Another influential contribution, "Wheeled Mobile Robot RBFNN Dynamic Surface Control Based on Disturbance Observer" (2014, 16 citations), proposes an adaptive neural network control strategy that compensates for external disturbances and parameter uncertainties, advancing the reliability of mobile robots in real-world conditions. Liu also authored a review on "Progress and Applications of Visual SLAM" (2018), highlighting the role of visual sensors in enabling automated mapping and self-localization. With a cumulative impact of over 37 citations across key works, Liu’s research is foundational for engineers and researchers developing intelligent, autonomous systems for space exploration and terrestrial robotics.