Nasser Alsaedi

Papers

Total Citations

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About

Nasser Alsaedi is a researcher at the forefront of intelligent robotics and the Internet of Things (IoT), with a focused expertise in autonomous navigation within complex indoor environments. His most-cited work, "Enhancing Robots Navigation in Internet of Things Indoor Systems" (2021), addresses a critical challenge in mobile robotics: escaping local minima—points where a robot becomes trapped during path planning. Alsaedi’s major contribution lies in developing a novel algorithm for detecting and defining these local minima in unknown static settings. He further advanced the field by introducing and systematically comparing five distinct escape strategies against the traditional wall-following method, offering a practical toolkit for improving robot autonomy. This work, garnering 7 citations, has provided a foundational benchmark for researchers tackling real-world navigation failures in smart spaces. Alsaedi’s research bridges theoretical algorithm design with applied IoT systems, making his contributions vital for the next generation of seamless, self-navigating service robots in hospitals, warehouses, and smart homes.