Abdullah Mohamed

Papers

Total Citations

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About

Abdullah Mohamed’s research focuses on intelligent robotics and autonomous navigation, with a particular emphasis on path planning and control for mobile robots and unmanned aerial vehicles (UAVs) in dynamic, real-world environments. His most cited work, “Real-time navigation of mecanum wheel-based mobile robot in a dynamic environment” (2024, 18 citations), introduces a novel algorithm that enables a mecanum-wheeled robot to autonomously reach a goal while avoiding obstacles via the shortest path—a critical advancement for agile, omnidirectional platforms in cluttered settings. In a second influential paper, “Dispersal Foraging Strategy With Cuckoo Search Optimization Based Path Planning in Unmanned Aerial Vehicle Networks” (2023, 10 citations), Mohamed tackles communication challenges in UAV swarms operating over dynamic marine ecosystems, proposing a bio-inspired optimization method to enhance real-time connectivity and mission efficiency. Together, these contributions demonstrate his ability to bridge theoretical optimization with practical robotic control, addressing pressing issues in logistics, search-and-rescue, and environmental monitoring. With a growing citation record and a clear trajectory toward solving complex, time-sensitive navigation problems, Mohamed is establishing himself as a promising voice in autonomous systems and swarm intelligence.