Amin Mirfakhar
Iran University of Science and Technology, University of Tehran
Papers
2
Total Citations
24
H-Index
2
About
Amin Mirfakhar is a robotics researcher whose work bridges adaptive control theory and practical autonomous systems. His primary research areas include robust adaptive control, parallel robotics, and human-robot interaction, with a particular focus on improving the safety and precision of unmanned aerial vehicles. Mirfakhar’s most cited work, “Control of a two-DOF parallel robot with unknown parameters using a novel robust adaptive approach” (2021, 16 citations), introduces a sophisticated control framework that handles system uncertainties without requiring exact parameter knowledge—a critical advancement for real-world robotic applications. His second highly cited paper, “Control a Drone Using Hand Movement in ROS Based on Single Shot Detector Approach” (2020, 8 citations), tackles the pressing issue of drone accident rates, which have risen sharply with increased commercial use in delivery, construction, and agriculture. By developing an intuitive hand-gesture control interface using computer vision and ROS, Mirfakhar addresses the human-error component of aviation incidents. His work stands out for combining theoretical rigor with practical deployment, offering solutions that are both mathematically sound and immediately applicable to improving drone safety and accessibility.
Research Focus
Key Achievements
Top Papers
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- 2