Rita Raad

Papers

1

Total Citations

2

H-Index

1

About

Rita Raad is a robotics researcher specializing in multi-robot coordination, photogrammetry, and 3D visualization. Her work addresses the growing demand for 3D models driven by advances in holograms and virtual reality, focusing on automating the tedious and imprecise process of image capture for photogrammetry. Her most-cited paper, "Coordinate multi-robotic system for image taking and visualization via photogrammetry" (2017), introduces a novel framework where multiple robots collaborate to systematically capture photographs from optimal angles, significantly improving efficiency and accuracy in 3D model generation. This contribution has garnered 2 citations, marking an early but promising impact in the field. Raad’s research bridges robotics and computer vision, offering practical solutions for creating affordable 3D content. Her work is particularly notable for its potential applications in cultural heritage preservation, architecture, and entertainment, where high-quality 3D models are essential. As the demand for immersive technologies grows, Raad’s innovations in automating photogrammetry position her as a key contributor to making 3D visualization more accessible and scalable.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Coordinate multi-robotic system for image taking and visualization via photogrammetry
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago