Tayybah Kiren
Papers
1
Total Citations
2
H-Index
1
About
Tayybah Kiren is a researcher whose work centers on advancing autonomous navigation for aerial robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM) for Unmanned Aerial Vehicles (UAVs) in GPS-denied environments. Her major contribution is a comprehensive state-of-the-art review that systematically evaluates the strengths and weaknesses of various SLAM algorithms tailored for UAVs, addressing a critical challenge in aerial robotics: reliable position estimation when GPS signals are poor or unavailable. This foundational work, published in 2022, has already garnered 2 citations, signaling its growing relevance to researchers tackling real-world deployment of drones in indoor, urban, or forested areas. By synthesizing diverse approaches—from visual SLAM to sensor fusion techniques—Kiren’s review serves as an essential roadmap for engineers and scientists developing robust autonomous systems. Her analysis not only highlights current limitations but also points toward future directions, making her a valuable voice in the rapidly evolving field of unmanned systems. For students and researchers exploring SLAM or UAV autonomy, Kiren’s work offers a clear, critical entry point into understanding how drones can navigate without GPS.
Research Focus
Key Achievements
Top Papers
- 1