Papers
9
Total Citations
167
H-Index
5
About
Xiangrui Zhao is a researcher whose work spans robotics perception, autonomous navigation, and medical robotics — a rare combination that bridges cutting-edge computer vision with life-saving clinical applications. His most recognized contribution, "RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network" (2022, 67 citations), introduced a rotation-invariant deep learning framework for LiDAR-based scene retrieval, addressing a fundamental challenge in robot navigation. Complementing this, his ongoing work on coarse-to-fine place recognition using attention-guided descriptors demonstrates a sustained commitment to robust, efficient localization. Beyond robotics perception, Zhao has made significant strides in indoor navigation, proposing a separated sonar localization system (2020, 32 citations) suited for large-scale environments. Perhaps most distinctively, he has pioneered AI-driven solutions for orthopedic surgery, developing automatic reduction planning and semi-automatic robotic systems for pelvic fractures — work that earned 28 and 10 citations respectively and holds clear translational value for improving surgical outcomes. His diverse yet interconnected portfolio reflects a researcher dedicated to making intelligent systems both perceptually capable and practically impactful across demanding real-world domains.
Research Focus
Key Achievements
Top Papers
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- 2Separated Sonar Localization System for Indoor Robot Navigation32 citations · 2020
- 3Automatic reduction planning of pelvic fracture based on symmetry28 citations · 2021
- 4A Robust Stereo Feature-aided Semi-direct SLAM System17 citations · 2020
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