A. Ferrah

Papers

Total Citations

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About

A. Ferrah is a researcher whose work centers on the intersection of robotics, computer vision, and intelligent navigation systems. Their most-cited contribution, "Smart Robot Navigation Using RGB-D Camera" (2018), demonstrates a core focus on enabling autonomous mobile robots to perceive and safely traverse complex environments. In this work, Ferrah developed a real-time control system that leverages advanced signal and image processing on data from an RGB-D camera to detect and avoid obstacles, thereby defining optimal motion paths. This contribution addresses a fundamental challenge in mobile robotics: the need for robust, sensor-driven navigation. While the paper has accrued 6 citations, its value lies in its practical, application-oriented approach to integrating depth-sensing technology for autonomous control. Ferrah’s research is particularly relevant for students and engineers working on intelligent systems, offering a clear methodology for enhancing robot autonomy in dynamic settings. Their work underscores the growing importance of sensor fusion and real-time processing in the development of smarter, more responsive robotic platforms.