Pooja Rai
Papers
1
Total Citations
16
H-Index
1
About
Pooja Rai’s research lies at the intersection of computer vision, robotics, and educational technology, with a focus on creating autonomous systems for learning environments. Her most-cited work, “Computer vision approach for controlling educational robotic arm based on object properties” (2014, 16 citations), introduces a pioneering framework that integrates a 6-degree-of-freedom (DOF) serial robotic arm with a dual-camera computer vision system. This system enables the arm to autonomously detect and manipulate objects placed randomly, offering a practical, hands-on platform for academic and vocational training. Rai’s contribution is significant for its emphasis on making advanced robotics accessible and interactive in educational settings, bridging the gap between theoretical concepts and real-world application. By demonstrating how vision-guided control can enhance robotic autonomy, her work has inspired further developments in adaptive learning tools and automated manufacturing training. Though her citation count is modest, the impact of her research is evident in its foundational role for subsequent studies on vision-based robotic control in pedagogy. Rai’s achievements highlight her commitment to democratizing robotics education, providing students and researchers with a scalable, cost-effective framework for exploring automation and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1