Sheikh Izzal Azid

University of the South Pacific, Murdoch University

Papers

Total Citations

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About

Sheikh Izzal Azid is a researcher whose work sits at the intersection of autonomous robotics, control systems, and renewable energy infrastructure. His primary research areas include unmanned aerial vehicle (UAV) control, multi-robot formation, and automated inspection technologies. Azid’s most cited work, “Wind gust estimation for precise quasi-hovering control of quadrotor aircraft” (2021, 18 citations), addresses a critical challenge in drone stability, enabling more reliable flight in turbulent conditions. He has also made notable contributions to ground robotics, as seen in “Autonomous Leader–Follower Formation of Vehicular Robots Using the Lyapunov Method” (2022, 7 citations), which develops robust formation control strategies for multi-robot systems navigating obstacle-rich environments. Demonstrating the practical application of his expertise, Azid’s recent review “Review of unmanned ground vehicles for PV plant inspection” (2025, 10 citations) tackles the growing need for automated monitoring in large-scale solar power plants. This work highlights his ability to bridge fundamental control theory with real-world energy sector challenges, positioning him as a versatile contributor to both robotics and sustainable technology.