Mustafa Hatem Jebur

Philadelphia University, Altınbaş University

Papers

Total Citations

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About

Mustafa Hatem Jebur’s research focuses on intelligent mobile robotics, particularly in the areas of autonomous navigation, obstacle avoidance, and target recognition in unknown or hazardous environments. His work integrates neural networks and fuzzy logic to enable robots to safely seek targets while avoiding obstacles, addressing a critical challenge in real-world robotic deployment. Jebur’s most cited paper, “Safe navigation and target recognition for a mobile robot using neural networks” (2017, 4 citations), demonstrates the use of the Robotino® platform to achieve reliable navigation and red-color target identification. In “Target Seeking and Obstacle Avoidance of Omni Robot in an Unknown Environment” (2020, 3 citations), he applies fuzzy logic to overcome modeling difficulties in omni-directional robots, enhancing their ability to operate without precise environmental maps. Though his citation counts are modest, Jebur’s contributions are notable for their practical focus on low-cost, adaptable robotic systems, offering foundational insights for students and researchers working on mobile robot autonomy in constrained or unpredictable settings.