Slimane Mekaoui

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

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About

Slimane Mekaoui is a researcher advancing the field of intelligent robotics, with a focus on human-robot interaction and autonomous navigation. His work centers on developing intuitive control systems and perception algorithms that enable mobile robots to operate effectively in real-world environments. Mekaoui’s most cited paper, “Gesture control of mobile robot based arduino microcontroller” (2016), has garnered 13 citations and introduces a novel method for controlling robots through hand gestures. By employing the circular Hough transform for image processing and transmitting control signals via Wi-Fi, this work bridges computer vision and embedded systems to create accessible, non-contact interfaces. In his second notable contribution, “Smart Robot Navigation Using RGB-D Camera” (2018), with 6 citations, Mekaoui addresses real-time obstacle detection and avoidance. By applying advanced signal and image processing to RGB-D camera data, he enables robots to autonomously chart optimal motion paths. These contributions demonstrate Mekaoui’s commitment to making robotics more responsive and autonomous, with potential applications in assistive technology and industrial automation. His research is particularly valuable for students and engineers exploring low-cost, vision-based robotic control systems.