Mingliang Yang
Papers
1
Total Citations
5
H-Index
1
About
Mingliang Yang is a leading researcher in robotics and autonomous systems, with a primary focus on multi-sensor fusion, indoor localization, and 3D spatial perception for mobile robots. His most cited work, "A multi-sensor fusion approach for centimeter-level indoor 3D localization of wheeled robots" (2025), addresses the critical challenge of achieving high-precision positioning across multilevel environments using only low-cost sensors. By integrating data from multiple sensor modalities, Yang’s approach enables wheeled robots to navigate complex indoor spaces with centimeter-level accuracy—a breakthrough that significantly enhances the safety and reliability of autonomous systems in real-world settings. This contribution has already garnered 5 citations, reflecting its immediate relevance to the field. Yang’s research is particularly notable for its practical focus on overcoming the limitations of affordable hardware, making advanced localization accessible for widespread deployment. His work stands at the intersection of robotics, sensor technology, and spatial computing, offering scalable solutions for logistics, service robots, and smart infrastructure. Through his innovative fusion techniques, Mingliang Yang is helping to bridge the gap between theoretical localization algorithms and robust, cost-effective real-world applications.
Research Focus
Key Achievements
Top Papers
- 1