Nila Sultana

American International University-Bangladesh

Papers

Total Citations

H-Index

About

Nila Sultana is a robotics and automation researcher whose work focuses on intelligent manipulation systems and embedded control. Her most-cited paper, “Color Sorting Robotic Arm” (2019, 13 citations), introduces a design for a human-like robotic arm capable of detecting an object’s exact position, picking it up, and placing it in a designated location based on color recognition. This contribution advances practical automation in sorting tasks, demonstrating how predefined angular movements and sensor integration can mimic human dexterity. While her citation count reflects a developing career, the paper’s impact lies in its clear, implementable framework for educational and industrial robotics. Sultana’s research bridges the gap between theoretical control algorithms and real-world mechanical design, offering a cost-effective solution for automated sorting. Her work is particularly notable for its emphasis on precision and repeatability, key factors in scalable manufacturing. As she continues to explore sensor-driven robotics, Sultana’s contributions provide a foundation for students and engineers seeking to build efficient, low-cost automation systems.