Majid Moavenian
Papers
8
Total Citations
87
H-Index
7
About
Majid Moavenian’s research lies at the intersection of robotics, control theory, and smart materials, with a particular focus on the modelling and robust control of soft and micro-scale robotic systems. His major contributions center on the application of Quantitative Feedback Theory (QFT) to design robust controllers for robots with significant dynamic uncertainties, including SCARA manipulators and, most notably, conjugated polymer actuators. Moavenian has pioneered the analytical and finite element modelling of fast trilayer polypyrrole bending actuators, addressing their complex electro-chemo-mechanical dynamics to enable micro- and nano-scale precision. His work has direct implications for biomimetic robots and biomedical devices, where frictionless, backlash-free actuation is critical. With his most-cited paper, “Modelling and control of a SCARA robot using quantitative feedback theory,” accumulating 18 citations, and a cluster of related papers on polypyrrole actuators each garnering 10–16 citations, his research has established a solid foundation for robust control in soft robotics. Moavenian’s integration of Takagi-Sugeno fuzzy modelling and parallel distributed compensation further demonstrates his versatility in tackling nonlinear actuator dynamics, making his work essential reading for researchers in microrobotics and advanced control.
Research Focus
Key Achievements
Top Papers
- 1Modelling and control of a SCARA robot using quantitative feedback theory18 citations · 2009
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- 3Analytical dynamic modeling of fast trilayer polypyrrole bending actuators13 citations · 2011
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