Fatema Tuz Zohra Aurin
Papers
2
Total Citations
8
H-Index
2
About
Fatema Tuz Zohra Aurin is a researcher specializing in robotics, autonomous navigation, and sensor-based mapping. Her primary contributions lie in the field of Simultaneous Localization and Mapping (SLAM), where she has developed practical solutions for enabling autonomous differential drive robots to navigate and map unknown indoor environments. Her most cited work, "Sonar-based SLAM Using Occupancy Grid Mapping and Dead Reckoning" (2018, 6 citations), introduces a robust method that leverages sonar data and relative positioning to construct accurate occupancy grid maps, addressing key challenges in real-time robot localization. This research builds on her foundational Bachelor's thesis (2017, 2 citations), which explored SLAM implementation with an autonomous robot. Though early in her career, Aurin’s work demonstrates a clear focus on cost-effective, sensor-driven navigation systems—a critical area for advancing mobile robotics in constrained environments. Her contributions offer valuable insights for students and researchers interested in low-cost SLAM techniques, occupancy grid mapping, and autonomous systems, highlighting the potential of sonar-based approaches in indoor robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Sonar-based SLAM Using Occupancy Grid Mapping and Dead Reckoning6 citations · 2018
- 2Simultaneous localization and mapping (SLAM) with an autonomous robot2 citations · 2017