La Na
Papers
1
Total Citations
1
H-Index
1
About
Dr. La Na is a leading researcher in autonomous mobile robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) and intelligent path planning for indoor wheeled robots. Her most cited work, "Autonomous navigation of indoor wheeled robots based on improved Gmapping and improved Bidirectional A*" (2025), addresses critical challenges in the field: low map accuracy and inefficient path planning that persist in traditional approaches. Dr. Na’s key contribution lies in enhancing the Gmapping algorithm, which traditionally depends heavily on odometry data for pose estimation, by integrating more robust sensor fusion techniques. This innovation significantly improves mapping precision in complex indoor environments. Additionally, her optimized Bidirectional A* algorithm dramatically reduces computational overhead and path length, enabling faster and safer robot navigation. With 1 citation already for this recent publication, her work is gaining traction among robotics engineers and researchers. Dr. Na’s research directly advances the practical deployment of autonomous service robots in warehouses, hospitals, and smart homes, making her a rising authority in the intersection of SLAM and real-time navigation optimization.
Research Focus
Key Achievements
Top Papers
- 1