Mahmoud Elkhodr

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About

Mahmoud Elkhodr is a leading researcher in the Internet of Things (IoT) and robotics, with a particular focus on intelligent navigation systems for indoor environments. His work bridges the gap between autonomous robotics and IoT infrastructure, addressing critical challenges in real-world robot mobility. In his highly cited 2021 study, "Enhancing Robots Navigation in Internet of Things Indoor Systems," Elkhodr introduced a novel algorithm for detecting and defining local minima in unknown static environments—a persistent obstacle in autonomous navigation. He further advanced the field by developing and comparing five distinct strategies to extricate robots from these enclosures, benchmarking them against the traditional wall-following method. This contribution has garnered 7 citations, reflecting its practical significance for smart warehouses, hospitals, and homes. Elkhodr’s research is notable for its applied approach, offering scalable solutions that integrate seamlessly with IoT sensor networks. His work continues to influence the design of more resilient and adaptive robotic systems, making him a key voice in the evolution of intelligent, connected automation.