Limei Liu

Papers

Total Citations

H-Index

About

Limei Liu is a pioneering researcher in mobile robotics, with a primary focus on real-time environmental perception and cooperative multi-robot systems. Her most influential work, "Real-time Detection of Dynamic Obstacle Using Laser Radar" (2008, 11 citations), addresses a critical challenge in autonomous navigation: accurately identifying moving obstacles during simultaneous localization and mapping (SLAM). By proposing a novel approach using 2D laser radar for real-time dynamic obstacle detection, Liu directly improved the precision and reliability of map building in unknown environments—a foundational contribution for safe robot operation in dynamic settings. In her subsequent work, "An Approach to Cooperative Multi-Robot Map Building in Complex Environments" (2008, 3 citations), she introduced an innovative strategy for merging individual local grid maps into a single global map without relying on any robot pose information. This approach enables robust collaboration among multiple robots in complex, unstructured spaces, significantly advancing the field of distributed robotic mapping. Though her citation counts are modest, Liu’s contributions are notable for their practical impact on real-world autonomous systems, particularly in obstacle avoidance and collaborative exploration. Her research remains relevant for students and engineers developing resilient, perception-driven mobile robots.