Mohammad Reza Hairi Yazdi
Papers
21
Total Citations
219
H-Index
9
About
Mohammad Reza Hairi Yazdi is a prominent robotics and control systems researcher whose work spans parallel robotics, multi-robot coordination, biped locomotion, and intelligent control design. His research has made significant contributions to both the theoretical foundations and practical implementation of advanced robotic systems, accumulating over 180 citations across his most recognized publications. Hairi Yazdi is perhaps best known for his extensive work on Delta parallel robots, where he has tackled challenges ranging from kinematic and dynamic modeling using screw theory and the principle of virtual work, to sophisticated control strategies including adaptive, sliding mode, and neural network-based inverse dynamic controllers. His 2021 work on cooperative transportation of slung loads by multiple quadrotors (47 citations) demonstrates his reach into aerial robotics and distributed control systems. His contributions to base inertia parameter identification under insufficient excitations (39 citations) reflect a strong commitment to solving real-world implementation challenges. Beyond manipulation, Hairi Yazdi has explored passivity-based control of 3D biped walkers and cable-driven parallel robots, including a novel application for autonomous football game capture. His consistent integration of machine learning techniques — neural networks, ARMAX, and fuzzy logic — into classical control frameworks underscores his dedication to bridging theoretical rigor with practical, deployable robotic solutions.
Research Focus
Key Achievements
Top Papers
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- 5From a 3D Passive Biped Walker to a 3D Passivity-Based Controlled Robot14 citations · 2018
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- 10Fuzzy supervisory assisted impedance control to reduce collision impact9 citations · 2014