Xiangbin Shi
Papers
1
Total Citations
2
H-Index
1
About
Xiangbin Shi is a robotics researcher whose work focuses on advancing autonomous navigation and sensor fusion for mobile robots, particularly in indoor environments. His most-cited paper, "Indoor Wheeled Robot Positioning Algorithm Based on Extended Kalman Filter" (2019), addresses a critical challenge in robotics: achieving reliable and accurate positioning when single-sensor data proves insufficient. Shi’s contribution lies in refining the extended Kalman filter (EKF) to integrate multiple sensor inputs, enhancing the robustness of wheeled robots used across research, industrial manufacturing, and service sectors. This work has garnered attention for its practical approach to improving localization in constrained spaces where GPS is unavailable. While his citation count is modest, Shi’s research underscores the growing importance of multi-sensor fusion in real-world robotics applications. His efforts contribute to the broader goal of making indoor mobile robots more autonomous and dependable, a key step toward their widespread deployment in logistics, healthcare, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1