Milad Masoumi
Papers
1
Total Citations
27
H-Index
1
About
Milad Masoumi is a control systems researcher whose work focuses on the intersection of robotics, nonlinear dynamics, and adaptive control. His most-cited paper, "FAT-based robust adaptive control of flexible-joint robots: Singular perturbation approach" (2017, 27 citations), addresses a fundamental challenge in robotics: controlling manipulators with joint elasticity. By modeling flexible-joint robots (FJR) under the assumption of weak elasticity and converting the system into a singular perturbation form, Masoumi introduced a robust adaptive control strategy that leverages Function Approximation Techniques (FAT). This approach effectively handles parametric uncertainties and external disturbances without requiring precise system models. His work is particularly significant for applications in high-precision robotics and human-robot interaction, where joint flexibility can cause instability. With 27 citations, this paper has become a reference point for researchers developing advanced control methods for flexible structures. Masoumi’s contributions demonstrate a deep understanding of singular perturbation theory and adaptive control, offering practical solutions for real-world robotic systems. His research continues to influence the design of more resilient and intelligent robotic platforms.
Research Focus
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Top Papers
- 1