Israa Haj-Mahmoud

Jordan University of Science and Technology

Papers

Total Citations

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About

Israa Haj-Mahmoud is a researcher advancing the field of autonomous mobile robotics, with a particular focus on intelligent navigation in complex, unknown environments. Her work is foundational to the integration of robotics within the Internet of Things (IoT), addressing critical challenges in indoor systems. In her most cited paper (2021, 7 citations), she introduced a novel algorithm for detecting and escaping local minima—a common failure point for robots navigating static, unknown spaces—and compared five innovative approaches against the traditional wall-following method, offering significant improvements in path planning reliability. Earlier, in her 2013 work (2 citations), Haj-Mahmoud developed a fuzzy logic-based speed controller that dynamically adjusts a robot’s velocity in response to its surroundings, enhancing both safety and efficiency during autonomous navigation. These contributions demonstrate her commitment to creating more adaptive and robust robotic systems. Her research is particularly valuable for students and engineers working on IoT-enabled autonomous platforms, as it provides practical solutions for real-world navigation hurdles, laying the groundwork for smarter, more responsive robots in smart environments.