Mohamed Aziz Guesmi

Papers

Total Citations

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About

Mohamed Aziz Guesmi is a researcher in robotics and embedded systems, with a focus on intuitive human-machine interaction. His most-cited work, "Gesture control of mobile robot based arduino microcontroller" (2016, 13 citations), demonstrates his contribution to accessible, low-cost robotic control. In this study, Guesmi developed a system that interprets hand gestures via image processing—specifically using the circular Hough transform—to generate control signals transmitted over Wi-Fi to an Arduino-based mobile robot. This work bridges computer vision and microcontroller programming, offering a practical, real-time solution for non-contact robot navigation. While his citation count reflects a focused, emerging impact, Guesmi’s research is notable for its emphasis on simplicity and affordability, making gesture-based robotics more attainable for educational and prototyping contexts. His approach highlights the potential of integrating basic hardware with efficient algorithms, a valuable lesson for students and engineers exploring embedded systems and human-robot interaction.