Farzad A. Shirazi
Papers
9
Total Citations
136
H-Index
6
About
Farzad A. Shirazi is a researcher whose work lies at the intersection of aerial robotics, humanoid locomotion, and agricultural automation. His primary contributions span distributed control for multi-agent quadrotor systems—where he has developed nonlinear H∞ and adaptive containment algorithms to enable robust formation flying and cooperative payload transport—and whole-body model predictive control for humanoid robots, notably applied to the SURENA III platform. In the aerial domain, his 2021 paper on cooperative slung-load transport by multiple quadrotors has garnered 47 citations, while his distributed H∞ formation control work has accumulated 34 citations. For humanoid robotics, he has advanced MPC schemes that plan vertical CoM motion and external contact forces, achieving 12 citations. More recently, Shirazi has ventured into precision agriculture, applying Mask R-CNN and DBSCAN clustering for tomato ripeness evaluation and localization, a step toward automated harvesting. His work demonstrates a rare breadth—bridging theoretical control synthesis with practical robotic systems across air and ground domains—making him a versatile contributor to modern robotics.
Research Focus
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