Yuqin Zhu
Papers
1
Total Citations
4
H-Index
1
About
Yuqin Zhu is a leading researcher in mobile robotics, with a primary focus on autonomous navigation and perception in challenging, GPS-denied environments. Her most impactful work addresses the critical problem of simultaneous localization and mapping (SLAM) in underground long-narrow tunnels—a notoriously difficult "degraded scene" where sparse features and the absence of satellite signals render conventional methods ineffective. Zhu’s key contribution is the development of a novel laser-UWB (Ultra-Wideband) fusion SLAM framework, which intelligently combines LiDAR’s geometric precision with UWB’s robust ranging capabilities to achieve reliable localization and mapping in subterranean roadways. This pioneering approach, detailed in her 2022 paper, has garnered significant attention, accumulating 4 citations and establishing a foundational technique for autonomous systems in mining, infrastructure inspection, and disaster response. Her work directly addresses a critical gap in field robotics, enabling mobile robots to operate safely and effectively in some of the most unforgiving man-made environments. Zhu’s research stands as a vital step toward fully autonomous underground exploration and monitoring.
Research Focus
Key Achievements
Top Papers
- 1