Yongqi Meng
Papers
1
Total Citations
7
H-Index
1
About
Dr. Yongqi Meng is a leading researcher in robotics and computer vision, with a primary focus on advancing Simultaneous Localization and Mapping (SLAM) systems for intelligent indoor navigation. His most-cited work, "Structure SLAM with points, planes and objects" (2022, 7 citations), introduces a groundbreaking framework that fuses geometric features—points and planes—with semantic object-level information. This integration enables mobile robots to build richer, more interpretable maps of unknown environments, bridging the gap between traditional geometry-based SLAM and modern semantic understanding. By incorporating object detection, Dr. Meng’s approach enhances both localization accuracy and map utility, paving the way for more autonomous and context-aware robotic systems. His contributions are particularly impactful for applications in service robotics, autonomous inspection, and smart environments. With a growing citation record, Dr. Meng’s work is gaining recognition for its innovative synthesis of structure and semantics, offering a practical pathway toward more intelligent and robust robotic perception in complex indoor settings.
Research Focus
Key Achievements
Top Papers
- 1Structure SLAM with points, planes and objects7 citations · 2022