Hanrui Yang
Papers
1
Total Citations
9
H-Index
1
About
Hanrui Yang is a robotics researcher whose work focuses on autonomous navigation, simultaneous localization and mapping (SLAM), and visual-inertial odometry (VIO) systems. His most notable contribution to date is the development of an optimized tightly-coupled VIO framework that fuses both point and line features to enhance robot navigation performance in GPS-denied environments — a challenge of considerable practical importance for real-world robotic deployment. Published in 2019, this work has garnered 9 citations, reflecting growing interest in robust localization solutions for patrol and service robots operating in complex, unstructured environments. Yang's research addresses a critical gap in autonomous systems: enabling robots to navigate reliably without external positioning infrastructure. By combining the complementary strengths of point features and line features within a tightly-coupled sensor fusion architecture, his approach improves state estimation accuracy and resilience — particularly in environments where geometric structure plays a key role. This contribution sits at the intersection of computer vision, inertial sensing, and mobile robotics, making it relevant to researchers working on autonomous vehicles, security robots, and embedded navigation systems. Yang represents an emerging voice in the robotics community tackling foundational challenges in real-world autonomy.
Research Focus
Key Achievements
Top Papers
- 1