Shanfeng Liu
Papers
1
Total Citations
2
H-Index
1
About
Shanfeng Liu is a leading researcher in robotics and autonomous navigation, with a primary focus on long-term localization and mapping (SLAM) for inspection robots operating in large-scale, safety-critical environments. His most cited work, "A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors" (2025), addresses the critical challenge of sensor degradation and drift during prolonged autonomous missions—a key bottleneck for deploying robots in substations and industrial facilities. By developing robust SLAM algorithms that maintain accuracy over extended periods, Liu’s research directly enhances the reliability and operational lifespan of autonomous inspection systems. His contributions are foundational for advancing real-world deployment of mobile robots in hazardous or remote areas, where consistent, long-duration performance is essential. With growing citation impact, Liu’s work is shaping the next generation of resilient, self-localizing robots, bridging the gap between laboratory research and practical, large-scale industrial applications.
Research Focus
Key Achievements
Top Papers
- 1