Shafiqul Islam

Papers

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About

Shafiqul Islam is a robotics and automation researcher whose work spans mobile robotics, autonomous systems, and industrial robot design. His research focuses on developing intelligent robotic platforms capable of autonomous navigation, manipulation, and real-world task execution, with particular emphasis on bridging theoretical design with practical implementation. Islam's most recognized contribution is his 2014 work on line follower robots, which garnered 21 citations and addressed critical challenges in industrial automation — including sensor response accuracy, data acquisition methods, and feedback optimization for directional control systems. This work established a methodological foundation for evaluating robot efficiency in manufacturing and logistics contexts. Building on this foundation, his 2021 investigation into vision-based autonomous mobile manipulation reflects a natural evolution toward more sophisticated robotic intelligence. By surveying visual tracking methods and guiding the development of image-feature-based systems, Islam contributed meaningful insight into how autonomous robots perceive and interact with dynamic environments. Collectively, his research represents a trajectory from fundamental robot fabrication toward advanced autonomous perception and control. Students and engineers working in industrial robotics, automation systems, or computer vision-driven manipulation will find Islam's work a useful reference point for both foundational principles and emerging design methodologies in the field.