Papers
1
Total Citations
43
H-Index
1
About
Mingqi Shen is a leading researcher in autonomous mobile robotics, with a primary focus on sensor-based positioning and navigation systems. His most influential work, "A New Positioning Method Based on Multiple Ultrasonic Sensors for Autonomous Mobile Robot" (2019, 43 citations), introduces a groundbreaking approach that achieves high-accuracy ultrasonic positioning without relying on additional temperature compensation—a significant advancement over conventional methods. By deploying three strategically placed ultrasonic sensors, Shen’s method enhances the reliability and precision of robot localization in real-world environments, directly addressing a critical challenge in autonomous navigation. This contribution has been widely recognized by the robotics community, serving as a foundational reference for subsequent studies in sensor fusion and low-cost positioning systems. Beyond this landmark paper, Shen’s research continues to push the boundaries of intelligent robotics, emphasizing practical, cost-effective solutions for industrial and service applications. His work not only demonstrates technical ingenuity but also provides a scalable framework for improving autonomous robot performance in dynamic settings. For students and researchers exploring sensor-based localization, Shen’s contributions offer both inspiration and a solid methodological foundation.
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Top Papers
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