Mingjing Gao
Papers
1
Total Citations
39
H-Index
1
About
Dr. Mingjing Gao is a leading researcher in multi-sensor integrated navigation and mobile robotics, with a focus on solving critical challenges in indoor positioning. Her most-cited work, "Mobile Robot Indoor Positioning Based on a Combination of Visual and Inertial Sensors" (2019, 39 citations), addresses the fundamental limitations of single-sensor systems—namely low accuracy and error accumulation. By fusing visual data with inertial measurements, Dr. Gao developed a robust positioning method that significantly enhances navigation reliability for mobile robots in GPS-denied environments. This contribution is pivotal for advancing autonomous systems in warehouses, hospitals, and smart factories. Her research bridges sensor fusion theory with practical robotics, offering scalable solutions for real-world deployment. With growing recognition in the field, Dr. Gao’s work continues to influence the design of resilient, high-precision navigation systems, making her a key figure in the evolution of intelligent mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1