Youqi Pan
Papers
1
Total Citations
9
H-Index
1
About
Youqi Pan is a robotics researcher whose work focuses on advancing state estimation and sensor fusion for autonomous ground robots. His primary research areas include visual-inertial odometry (VIO), multi-sensor integration, and robust initialization techniques for mobile platforms. Pan’s most notable contribution is the development of a Visual-Inertial-Wheel Odometry system that introduces a wheel-aided maximum-a-posteriori initialization method, significantly improving the robustness and trajectory accuracy of ground robots in challenging environments where traditional VIO often fails. His 2024 paper on this topic has already garnered 9 citations, reflecting its timely impact on the field. By addressing critical issues such as initialization failure and degraded performance under adverse conditions, Pan’s work bridges the gap between theoretical sensor fusion and practical deployment. His research is particularly valuable for applications in autonomous navigation, where reliable state estimation is essential. With a focus on low-cost, complementary sensors, Pan continues to push the boundaries of what is achievable in real-world robotic systems, making him a promising voice in the next generation of robotics researchers.
Research Focus
Key Achievements
Top Papers
- 1