Jinqin Guo
Papers
2
Total Citations
16
H-Index
1
About
Jinqin Guo is a researcher focused on advancing autonomous robotics, with a particular emphasis on simultaneous localization and mapping (SLAM) and vision-based navigation systems. Their most cited work, "Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm" (2024, 15 citations), provides a comprehensive framework for enabling robots to build environmental maps while estimating their own position in unknown settings—a foundational challenge in robotics. This contribution is critical for applications ranging from warehouse automation to search-and-rescue operations. Guo’s additional research, "Vision-based robot indoor-positioning and navigation method research" (2024, 1 citation), explores camera-driven approaches for indoor environments, complementing their SLAM work by addressing localization without external infrastructure like GPS. While their citation counts are still growing, Guo’s work demonstrates practical relevance in a rapidly evolving field. Their research stands out for its focus on real-world deployment, bridging theoretical SLAM algorithms with actionable navigation solutions. For students and researchers, Guo’s contributions offer a clear entry point into understanding how robots perceive and move through complex, unstructured spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2