Mingqin Liu

China University of Mining and Technology

Papers

Total Citations

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About

Mingqin Liu is a researcher whose work centers on mobile robotics and computer vision, with a particular focus on the critical challenge of camera calibration. Liu’s most-cited paper, “Calibration algorithm of mobile robot vision camera” (2016), addresses the fundamental need for precise geometric alignment between a robot’s visual sensors and its environment—a prerequisite for accurate navigation, mapping, and object manipulation. This contribution, while modest in citation count, provides a practical algorithmic framework that enhances the reliability of vision-guided mobile systems. Liu’s research sits at the intersection of sensor fusion and autonomous perception, where even small improvements in calibration accuracy can significantly impact real-world robot performance. By tackling this foundational problem, Liu has helped lay the groundwork for more robust visual SLAM (Simultaneous Localization and Mapping) and obstacle avoidance in dynamic settings. Though early in their career, Liu’s work demonstrates a commitment to solving the practical, hardware-adjacent problems that enable higher-level autonomy—a vital area as mobile robots become increasingly deployed in logistics, inspection, and service applications.