Askar Azizi

University of Tabriz, University of Bonab

Papers

Total Citations

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About

Askar Azizi is a robotics researcher whose work centers on autonomous navigation and visual servoing for unmanned systems. His primary contributions lie in developing robust control and localization algorithms that enable robots to operate reliably in uncertain environments. His most-cited paper, "3D inertial algorithm of SLAM for using on UAV" (2016, 6 citations), addresses the fundamental challenge of simultaneous localization and mapping (SLAM) for aerial vehicles, presenting an efficient inertial-based approach that improves navigation accuracy for autonomous drones. This work is particularly relevant for applications requiring precise positioning without GPS. Azizi further advanced the field with his study on "Pre-Compensated Proportional Derivative Sliding Mode Controller Design for Image Based Visual Servoing" (2019, 2 citations), where he tackled the problem of controlling robot manipulators under uncertainty. By combining a pre-compensated term with PD and sliding mode control, his design achieves fast, accurate, and robust motion in vision-guided tasks. Though his citation counts are modest, Azizi’s research demonstrates a focused effort on solving practical challenges in autonomous robotics, bridging theoretical control methods with real-world implementation for UAVs and manipulators.