Shiqi Jiang
Papers
1
Total Citations
5
H-Index
1
About
Shiqi Jiang is a robotics researcher whose work focuses on advancing autonomous navigation for mobile robots, particularly through sensor fusion and simultaneous localization and mapping (SLAM). His key research areas include LiDAR-based SLAM, inertial navigation systems (INS), and tightly-coupled multi-sensor integration for unmanned vehicles. Jiang’s major contribution lies in developing robust SLAM frameworks that combine LiDAR and INS data to achieve high-precision positioning and mapping in complex, real-world environments—such as campus settings—where GPS signals may be unreliable or degraded. His most-cited paper, “Tightly-Coupled SLAM Integrating LiDAR and INS for Unmanned Vehicle Navigation in Campus Environments” (2024, 5 citations), demonstrates how laser-based SLAM can maintain accuracy even under poor lighting conditions, a critical advantage over vision-based systems. This work highlights his ability to address practical challenges in field robotics, bridging the gap between theoretical algorithms and deployable solutions. Jiang’s research is particularly relevant for applications in autonomous delivery, inspection, and exploration, where reliable navigation is essential. His achievements underscore a commitment to enhancing robot autonomy through innovative sensor fusion techniques.
Research Focus
Key Achievements
Top Papers
- 1