Rongxuan Tan
Papers
2
Total Citations
21
H-Index
2
About
Rongxuan Tan is a leading researcher in robotics perception, with a primary focus on visual-inertial simultaneous localization and mapping (SLAM) for dynamic environments. His major contribution lies in addressing a critical limitation of traditional SLAM systems—their reliance on static world assumptions—by developing D-VINS (Dynamic Adaptive Visual–Inertial SLAM). This innovative framework integrates IMU priors and semantic constraints to robustly handle moving objects in real-world scenes, enabling robots to autonomously explore and navigate unknown, dynamic environments with high accuracy. Tan’s work has garnered significant attention, with his foundational 2023 paper accumulating 15 citations and a closely related follow-up receiving 6 citations, underscoring the growing importance of his research in the field. By bridging the gap between static SLAM theory and dynamic reality, Tan’s contributions are paving the way for more resilient autonomous systems in applications ranging from service robotics to autonomous driving.
Research Focus
Key Achievements
Top Papers
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