Papers
2
Total Citations
85
H-Index
2
About
Guihua Liu is a leading researcher in autonomous navigation and robotic perception, with a focus on robust visual SLAM and intelligent path planning. Their work addresses critical challenges in dynamic environments where traditional systems fail. Liu’s most cited paper, "DMS-SLAM: A General Visual SLAM System for Dynamic Scenes with Multiple Sensors" (2019, 46 citations), introduces a versatile framework that maintains high localization accuracy despite moving objects—a breakthrough for mobile robots and autonomous driving. This work has been widely recognized for enabling reliable real-world deployment. More recently, Liu’s "A self-adaptive neighborhood search A-star algorithm for mobile robots global path planning" (2024, 39 citations) presents an optimized pathfinding method that adapts to changing terrain, significantly improving efficiency and safety in complex environments. With a growing citation impact, Liu’s contributions are shaping the next generation of autonomous systems, bridging the gap between laboratory precision and practical, dynamic operation. Their research continues to inspire advances in robotics, from warehouse logistics to self-driving vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2