Rabia Fatima

Papers

Total Citations

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About

Rabia Fatima’s research lies at the intersection of robotics, automation, and intelligent storage systems, with a focus on designing efficient, algorithm-driven solutions for object handling in both static and dynamic environments. Her most-cited work, “Design and Construction Objects Store System using Line Follower Robot” (2018, 6 citations), introduces a novel method for storing and retrieving objects in static settings, employing a line-following robot to navigate a grid of thirty boxes arranged in four columns. This system streamlines warehouse-style operations by automating the retrieval process based on user input. Building on this, her second highly cited paper, “Design and Construction a Dynamic Store System using the Bezier Curve Algorithms” (2018, 4 citations), advances the concept by integrating N-ary tree algorithms and Bezier curves to create a flexible, scalable storage framework. Here, a differential drive mobile robot retrieves objects from dynamically arranged columns using secret codes, enhancing adaptability in real-time applications. Though early in her career, Fatima’s work demonstrates a clear trajectory toward practical, algorithmically robust automation, offering foundational contributions to smart storage and mobile robotics that hold promise for logistics and industrial applications.