Corina Monica Pop
Papers
2
Total Citations
7
H-Index
2
About
Corina Monica Pop is a dedicated researcher in the field of autonomous mobile robotics, with a focused expertise in localization, path planning, and real-time computer vision. Her work addresses fundamental challenges in enabling robots to navigate and interact intelligently within both known and unknown environments. In her 2015 study, Pop introduced essential methods for robot localization and global trajectory planning using sonar sensors, laying critical groundwork for autonomous navigation systems. Building on this, her 2017 paper advanced the field by developing a real-time object detection and recognition system that leverages the SURF algorithm within the Emgu CV framework, specifically designed for robotic handling applications in libraries. This system demonstrated robust performance in tracking objects across live video streams. Although her citation counts (4 and 3, respectively) reflect the niche and emerging nature of her research area, these contributions are significant for their practical integration of sensor-based navigation and vision-guided manipulation. Pop’s work represents a valuable step toward more autonomous and context-aware robotic systems, particularly in structured indoor environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2