About

Yuxiang Sun is a robotics and computer vision researcher whose work has profoundly advanced the fields of simultaneous localization and mapping (SLAM), autonomous navigation, and robot perception. He is perhaps best known for his pioneering contributions to RGB-D SLAM in dynamic environments, where his motion removal approaches — accumulating over 580 citations across two landmark papers from 2016 and 2018 — addressed one of the most persistent challenges in mobile robotics: maintaining reliable mapping when scenes contain moving objects. His research spans an impressively broad yet cohesive range of topics, including indoor WiFi-based localization, hand-eye calibration via 4-D Procrustes analysis, autonomous exploration through incremental road map construction, and semantic mapping in challenging real-world conditions. More recently, Sun has pushed the frontier of LiDAR-based systems, introducing SLAMesh for real-time simultaneous localization and meshing, and developing task-driven point cloud coding frameworks for autonomous vehicles. His work also extends into healthcare robotics, with contributions to ultrasound-guided assistive systems for scoliosis assessment. With over 1,000 cumulative citations, Sun's diverse yet interconnected body of research positions him as a significant voice in advancing intelligent, perceptually robust robotic systems.

Research Focus

Key Achievements

14
H-Index
25
Papers
1,211
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Improving RGB-D SLAM in dynamic environments: A motion removal approach
384 citations · 2016
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 65
🏛 Institutions: Chinese University of Hong Kong, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, University of Toronto, Chinese University of Hong Kong, Shenzhen, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago