Shahriar Rahman Fahim

Rajshahi University of Engineering and Technology

Papers

Total Citations

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About

Shahriar Rahman Fahim is a robotics researcher whose work bridges mechanical design, embedded systems, and intelligent control. His primary research areas include robotic manipulators, teleoperation, and autonomous systems for practical applications. Fahim’s major contributions center on developing vision-based and remotely operated robotic arms, as demonstrated in his most-cited work, “Modeling and development of a five DoF vision based remote operated robotic arm with transmission control protocol” (2020, 6 citations), which integrates computer vision with TCP-based control for precise manipulation. He also advanced open-loop tracking control in specialized robots, notably a small-scale fire-fighting robot (2018, 6 citations) featuring RF-based design and in-house electrical and mechanical development. Another notable achievement is his Android-recognition writing robotic arm (2019, 5 citations), which combines gesture recognition with open-loop control to replicate human handwriting. These projects showcase Fahim’s ability to create functional, low-cost robotic systems with real-world utility. His work has garnered citations across robotics and automation communities, reflecting its relevance to students and researchers interested in teleoperation, embedded control, and human-robot interaction. Fahim’s research continues to inspire practical innovations in robotic design and control.