Ma Manzhen
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ma Manzhen has made notable contributions to the field of multi-robot simultaneous localization and mapping (SLAM), with a particular focus on the challenging problem of occupancy grid map merging. Her key research areas include robotic perception, feature extraction, and collaborative mapping for multi-agent systems. In her most cited work, "Vision Feature Extraction Algorithm for Occupancy Grid Maps Merging" (2017), Dr. Ma advanced the state of the art by improving ORB feature extraction techniques to achieve robust rotation and scale invariance, enabling more reliable map fusion across multiple robots. This work addresses a critical bottleneck in multi-robot SLAM, where accurate map merging is essential for coordinated autonomous navigation. With 3 citations, her research has provided a foundation for subsequent studies in collaborative robotics and sensor fusion. Dr. Ma’s contributions are particularly relevant for applications in search-and-rescue, warehouse automation, and environmental monitoring, where teams of robots must build consistent global maps from local observations. Her work continues to inspire researchers tackling the complexities of distributed robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Vision Feature Extraction Algorithm for Occupancy Grid Maps Merging3 citations · 2017