Tabassum Anika

American International University-Bangladesh, Atlantic University

Papers

Total Citations

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About

Tabassum Anika is a robotics and intelligent systems researcher whose work bridges automation, logistics optimization, and human-robot interaction. Her most impactful contribution is the "Color Sorting Robotic Arm" (2019, 13 citations), a landmark design that integrates computer vision and precise mechanical control to enable a robotic arm to detect object positions, pick items, and sort them by color—mimicking human-like rotational movement. This work laid foundational principles for adaptive industrial automation. Anika further advanced smart urban logistics with her "Optimization Model for Determining Optimal Fleet Size for a Robot-Sharing System" (2021, 3 citations), addressing the critical challenge of deploying automated delivery robots (ADRs) in congested cities. By developing a mathematical model to determine the optimal number of shared robots for last-mile delivery, she provided a cost-efficient, scalable solution to reduce traffic congestion and improve delivery speed. Her research uniquely combines hardware design with operational optimization, offering practical frameworks for both manufacturing and smart city infrastructure. Anika’s work demonstrates a clear trajectory from sensor-driven manipulation to system-level efficiency, making her a rising voice in applied robotics and sustainable urban mobility.