Amir Hossein Pasdar
Papers
1
Total Citations
2
H-Index
1
About
Amir Hossein Pasdar is a researcher specializing in autonomous aerial robotics, control systems, and vision-based localization for micro aerial vehicles (MAVs). His work addresses critical challenges in the nonlinear dynamics and control of quadrotor systems, particularly during landing maneuvers—a phase complicated by ground effects and instability. In his most cited paper, "A hybrid fuzzy approach for landing of a quad-rotor MAV based on a novel vision localization method" (2015), Pasdar introduced an innovative control strategy that integrates fuzzy logic with computer vision to enable precise, autonomous landing on a docking station or charging pad. This contribution bridges the gap between theoretical control design and practical deployment, offering a robust solution for MAV autonomy. With 2 citations, this work has informed subsequent studies in unmanned aerial vehicle (UAV) navigation and landing safety. Pasdar’s research is notable for its applied focus, combining fuzzy control, sensor fusion, and visual servoing to enhance the reliability of quadrotor operations in real-world environments. His efforts contribute to advancing the state of the art in autonomous drone technology, with implications for surveillance, delivery, and infrastructure inspection.
Research Focus
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Top Papers
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