Zecui Jiang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zecui Jiang is a robotics researcher specializing in low-cost, high-accuracy indoor positioning systems for mobile robots. His primary contributions center on developing sensor fusion techniques that replace expensive hardware like LiDAR and high-precision IMUs with affordable alternatives. In his most cited work, "A Mobile Robot Indoor Positioning System Based on ArUco Array and Extended Kalman Filter" (2023), Dr. Jiang introduced a novel method combining ArUco marker arrays with camera-based global positioning and an Extended Kalman Filter for sensor fusion. This approach significantly improves positioning robustness and accuracy while dramatically reducing system costs, making advanced robotics more accessible. With 2 citations, this foundational paper demonstrates growing interest in his cost-effective solutions. Dr. Jiang’s work is particularly notable for its practical applications in warehouse automation, service robotics, and autonomous navigation in GPS-denied environments. By democratizing precise indoor localization, he is helping bridge the gap between high-end research platforms and real-world, budget-constrained robotic systems.
Research Focus
Key Achievements
Top Papers
- 1