Papers
6
Total Citations
84
H-Index
4
About
S. Manteghi is a researcher specializing in the modeling, control, and optimal motion planning of complex robotic systems, with a particular focus on cable-driven parallel robots and Stewart platforms. Their major contributions lie in developing advanced control strategies to address the inherent challenges of non-linear dynamics, workspace limitations, and vibration in these systems. Manteghi pioneered the application of State-Dependent Riccati Equation (SDRE) methods for optimal motion planning in the presence of obstacles and moving boundaries, a framework demonstrated on cable-suspended robots. They further advanced the field by integrating feedback linearization with quadratic regulators for dual-stage Stewart platforms and by designing robust input shapers to reduce vibration in flexible cable-suspended robots. Their work on wheeled mobile cable-driven parallel robots, which combines dynamics analysis with input-output feedback linearization control, has garnered significant attention. With a top-cited paper (43 citations) and a body of work that bridges theoretical control design with practical robot applications, Manteghi’s research provides critical tools for improving the precision, stability, and safety of cable-driven and parallel robotic systems in industrial and dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 4Numerical and neural network modeling of motors of a robot4 citations · 2015
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