Yuanrui Shen
Papers
2
Total Citations
13
H-Index
2
About
Yuanrui Shen is a robotics researcher specializing in Simultaneous Localization and Mapping (SLAM) for perceptually degraded environments. His work focuses on developing robust localization algorithms that function reliably where traditional sensors fail—such as in low-light conditions, adverse weather, and feature-sparse indoor spaces. In his highly cited 2024 paper, "A 3D LiDAR-Inertial Tightly-Coupled SLAM for Mobile Robots on Indoor Environment," Shen tackled the challenge of structural homogeneity in long corridors and the limitations of low-resolution 3D laser scanners, proposing a tightly-coupled fusion approach that has already garnered 9 citations. More recently, his 2025 work, "WTI-SLAM: a novel thermal infrared visual SLAM algorithm for weak texture thermal infrared images," introduces an innovative thermal infrared solution for visually degraded environments, achieving 4 citations in a short period. By pushing SLAM beyond visible-spectrum reliance, Shen is enabling robotic navigation in smoke, darkness, and other challenging conditions. His research represents a significant step toward more resilient autonomous systems, with growing impact in the fields of field robotics and mobile robot perception.
Research Focus
Key Achievements
Top Papers
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- 2