Mehedi Hassan

Bangladesh University of Engineering and Technology

Papers

Total Citations

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About

Mehedi Hassan is a robotics researcher whose work bridges control systems, modular design, and intelligent navigation. His key research areas include self-balancing robotics, modular manipulator design, and human-robot interaction through speech recognition. In his most-cited work, "Development of a two wheeled self balancing robot with speech recognition and navigation algorithm" (2016), Hassan tackled the challenge of creating a stable, mobile robot platform that could respond to voice commands while autonomously navigating an enclosure. He implemented PID control algorithms to achieve dynamic balance, demonstrating how classical control theory can be applied to modern, interactive robotic systems. This paper, with 2 citations, has informed subsequent work in assistive and service robotics. Earlier, in "Flexible modular robotics link design" (2002), Hassan addressed a critical industry problem: the over-engineering and cost of general-purpose 6-DOF robots. He proposed a modular link joint system that allows for customizable, task-specific degrees of freedom, reducing redundancy and expense. This work, also with 2 citations, reflects his commitment to practical, cost-effective automation solutions. Hassan’s contributions highlight a career focused on making robotics more accessible, efficient, and responsive to real-world needs.