Razan Andigani
Papers
1
Total Citations
11
H-Index
1
About
Razan Andigani is a robotics researcher specializing in autonomous underwater vehicle (AUV) navigation and perception, with a particular focus on enabling reliable operation in challenging, low-texture environments. Her most cited work, "TURTLMap" (2024, 11 citations), introduces a novel real-time localization and dense mapping framework for low-cost unmanned underwater vehicles. This contribution directly addresses a critical bottleneck in underwater robotics: the failure of conventional visual SLAM methods in feature-sparse, visually homogeneous settings common to oceans, lakes, and harbors. By developing a system that fuses inertial, visual, and acoustic sensing, Andigani’s work enables robust, drift-free navigation and dense 3D reconstruction where previous approaches falter. Her research has immediate implications for environmental monitoring, infrastructure inspection, and search-and-rescue missions. While early in her career, the rapid citation of TURTLMap underscores its significance to the field. Andigani’s contributions are helping to democratize underwater autonomy by making advanced mapping capabilities accessible with low-cost hardware, paving the way for broader deployment of AUVs in real-world, low-texture underwater scenes.
Research Focus
Key Achievements
Top Papers
- 1