Shanwen Guan
Papers
1
Total Citations
3
H-Index
1
About
Shanwen Guan is a researcher focused on advancing mobile robot localization and tracking through sensor fusion, particularly leveraging Ultra-wideband (UWB) technology. His key research areas include wireless sensing, inertial measurement unit (IMU) integration, and low-power positioning systems for autonomous robotics. Guan’s major contribution lies in developing methods to fuse UWB range measurements with IMU data, addressing the challenge of accurate and robust localization in dynamic environments where traditional GPS is unavailable. His work demonstrates how UWB’s precise ranging capabilities can compensate for IMU drift, enabling reliable tracking for mobile robots. Notably, his 2021 paper "Fusing Ultra-wideband Range Measurements with IMU for Mobile Robot Localization" has garnered 3 citations, reflecting its relevance in the growing field of robotics and wireless sensing. Guan’s research holds promise for applications in industrial automation, warehouse logistics, and autonomous navigation, where energy-efficient, accurate positioning is critical. By combining theoretical insights with practical sensor fusion strategies, he contributes to the broader adoption of UWB technology in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1