S. Q. Xi

Papers

1

Total Citations

2

H-Index

1

About

Dr. S. Q. Xi is a leading researcher in autonomous robotics, with a primary focus on long-term localization and mapping (SLAM) for inspection robots operating in large-scale, safety-critical environments. Their most cited work, "A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors" (2025), addresses a fundamental challenge in field robotics: maintaining reliable pose estimation over extended periods despite sensor degradation and environmental changes. Dr. Xi’s contributions are particularly impactful for industrial applications such as substation inspection, where robots must navigate vast, GPS-denied spaces with high precision and robustness. By developing algorithms that mitigate the effects of LiDAR sensor drift and environmental dynamics, their work enhances the operational lifespan and reliability of autonomous inspection systems. With 2 citations already in a short time, this paper is gaining traction among researchers and engineers working on long-duration autonomy. Dr. Xi’s research bridges the gap between theoretical SLAM advances and practical deployment, making them a key figure in the evolution of resilient, long-term robotic navigation for critical infrastructure monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago