Yongwei Li
Papers
2
Total Citations
16
H-Index
1
About
Yongwei Li is a robotics researcher whose work centers on autonomous navigation and spatial intelligence for mobile robots. His primary research areas include simultaneous localization and mapping (SLAM), vision-based positioning, and sensor fusion for indoor environments. Li’s major contribution lies in advancing SLAM-based algorithms that enable robots to build accurate maps of unknown spaces while simultaneously estimating their own position—a fundamental challenge in robotics. His most cited paper, "Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm" (2024), has garnered 15 citations, reflecting its relevance to the growing field of autonomous systems. This work provides a comprehensive framework for robust localization and path planning in GPS-denied environments. Additionally, his research on "VISION-BASED ROBOT INDOOR-POSITIONING AND NAVIGATION METHOD" explores camera-driven approaches for precise indoor tracking. Li’s contributions are particularly significant for applications in service robotics, warehouse automation, and autonomous exploration. By tackling the core problem of reliable navigation without external infrastructure, his work helps bridge the gap between theoretical SLAM research and practical deployment in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2