Fatima Rajab Ali
Papers
2
Total Citations
20
H-Index
2
About
Fatima Rajab Ali is a researcher in robotics and embedded systems, with a focus on automated object storage and retrieval using line-follower robots. Her work bridges hardware implementation and software simulation to create efficient, scalable store systems for static and dynamic environments. In her most cited paper (2018, 13 citations), she introduces a novel approach where a line-follower robot navigates either static tracks or dynamically reconfigured paths to reach storage locations, optimizing retrieval time and flexibility. A second influential paper (2018, 7 citations) presents a software simulation of a static store system using the Digital Differential Analyzer (DDA) algorithm, arranging thirty boxes in four columns via an N-ary tree structure. She compares linear and circular path designs to evaluate efficiency. Together, these contributions advance low-cost, algorithm-driven automation for warehouse logistics and educational robotics. Her work demonstrates how simple robotic platforms, combined with intelligent path planning, can solve real-world storage challenges—making her research valuable for students and engineers exploring autonomous systems and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2