Yuanming Li
Papers
1
Total Citations
9
H-Index
1
About
Yuanming Li is a robotics researcher whose work centers on visual Simultaneous Localization and Mapping (SLAM), with a particular focus on enabling robots to operate reliably in complex, dynamic environments. Li’s most notable contribution is the development of TSG-SLAM, a novel SLAM system that tightly couples instance segmentation with geometric constraints. This approach directly addresses a critical challenge in robotics: how to maintain accurate localization and mapping when the environment contains moving objects, such as pedestrians or vehicles. By integrating deep learning-based object detection with traditional geometric methods, Li’s work allows robots to not only ignore dynamic entities but also to semantically understand their surroundings. The paper, published in 2023, has already garnered 9 citations, signaling its growing influence in the field. This research is particularly impactful for applications in autonomous navigation, service robotics, and augmented reality, where robust performance in unpredictable, real-world settings is essential. Li’s work represents a meaningful step toward more intelligent and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1