Lihuang She
Papers
1
Total Citations
2
H-Index
1
About
Lihuang She is a researcher focused on advancing autonomous navigation and positioning systems for mobile robots, with particular expertise in ultra-wideband (UWB) technology and sensor fusion. Their most-cited work, "Design of Auto Cruise System for Robots Based on UWB with Kalman filtering" (2020), addresses a critical challenge in indoor robotics: achieving stable, precise autonomous cruising in GPS-denied environments. She proposed integrating Kalman filtering algorithms to mitigate UWB positioning fluctuations, significantly enhancing the reliability of robot localization. This contribution is foundational for applications in warehouse logistics, service robotics, and smart manufacturing, where consistent indoor navigation is essential. While their citation count is currently modest, the work demonstrates a practical, systems-level approach to real-world robotics problems. She’s research bridges theoretical filtering techniques with deployable cruise algorithms, offering a blueprint for cost-effective, accurate indoor robot guidance. Their contributions are particularly valuable for students and engineers seeking to understand how sensor fusion and probabilistic filtering can transform basic UWB data into robust navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1