Yin Yu Lu
Papers
1
Total Citations
3
H-Index
1
About
Yin Yu Lu is a leading researcher in robotics and autonomous systems, with a primary focus on collaborative aerial-ground robot perception and visual SLAM (Simultaneous Localization and Mapping). Their most cited work, "The collaborative mapping and navigation based on visual SLAM in UAV platform" (2020), addresses a critical limitation of ground robots—constrained environmental perception—by integrating the superior perspective of aerial robots. This paper proposes a novel framework for collaborative mapping that fuses visual data from UAVs and ground vehicles, enabling robust navigation in complex, GPS-denied environments. With 3 citations, this foundational study has influenced subsequent research in multi-robot coordination and autonomous exploration. Lu’s contributions advance the practical deployment of heterogeneous robot teams for applications such as disaster response, surveillance, and precision agriculture. By bridging the gap between aerial and ground platforms, their work enhances the scalability and adaptability of autonomous systems. Lu’s research continues to shape the field of visual SLAM and collaborative robotics, offering innovative solutions for real-world navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1