Lianrui Xu

Papers

Total Citations

H-Index

About

Lianrui Xu is a leading researcher in intelligent robotics, specializing in autonomous navigation, sensor fusion, and environmental mapping. His work directly tackles the fundamental challenge of enabling robots to perceive and move through complex, unstructured indoor spaces with high precision. Xu’s most impactful contribution is the **Occupancy Information Grid Model**, a novel framework that reimagines traditional occupancy grid maps by integrating richer spatial data for more efficient and intelligent path planning. This work, published in 2022, has already garnered 21 citations, signaling its rapid adoption as a foundational approach in the field. To further enhance robotic autonomy, Xu developed an **Adaptive Pose Fusion Method** for indoor map construction, which corrects for the drift and inaccuracies common in vision-based systems operating in low-light or feature-poor environments. By fusing multiple sensor inputs, this method dramatically improves the fidelity of local map details and overall pose estimation. Xu’s research is critical for advancing the reliability of service robots, drones, and autonomous vehicles in real-world, dynamic settings, bridging the gap between theoretical mapping models and practical deployment.