Marwan Alharbi

Papers

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About

Marwan Alharbi is a researcher at the forefront of intelligent robotics and edge computing, with a focused expertise in developing autonomous search-and-find systems. His work addresses a critical challenge in modern robotics: enabling complex AI-driven tasks to run efficiently on resource-constrained edge devices rather than relying on cloud infrastructure. Alharbi’s most-cited paper, "Intelligent Search and Find System for Robotic Platform Based on Smart Edge Computing Service" (2020, 13 citations), introduces a novel heterogeneous platform that migrates computationally intensive robotic operations to edge nodes, significantly reducing latency and bandwidth dependency. This contribution is pivotal for real-time applications in disaster response, surveillance, and industrial automation. His subsequent work, "Performance Evaluation and Simulation of the Traversal Algorithms for Robotic agents in Advanced Search and Find (ASAF) System" (2021), further refines navigation strategies, offering empirical insights into algorithmic efficiency. By bridging the gap between AI’s computational demands and edge hardware limitations, Alharbi’s research lays the groundwork for more responsive, autonomous robotic agents. His growing citation record underscores the relevance of his contributions to the evolving fields of edge AI and intelligent robotics.