Saeed Rafee Nekoo
Iran University of Science and Technology, Universidad de Sevilla
Papers
58
Total Citations
956
H-Index
15
About
Saeed Rafee Nekoo is a prominent researcher specializing in nonlinear optimal control, robotics, and bio-inspired aerial systems. His most influential contributions center on the State-Dependent Riccati Equation (SDRE) framework, through which he has advanced sophisticated control strategies for complex nonlinear systems. His 2014 paper on finite-time SDRE for nonaffine systems — including rigid and flexible joint manipulators — has garnered 139 citations, establishing him as a leading authority in this domain. Building on this foundation, Nekoo extended SDRE methodologies to sliding mode control, adaptive control, and cooperative manipulator systems, addressing real-world challenges such as uncertainty, path planning, and dynamic load capacity. His 2016 work on collision-free path planning for mobile cooperative manipulators and his development of model reference adaptive SDRE for free-floating space manipulators further demonstrate his versatility across robotic platforms. More recently, his 2022 study on autonomous perching in ornithopters — bio-inspired flapping-wing robots — has attracted 86 citations, reflecting his expanding interest in biologically inspired aerial robotics. With over 500 cumulative citations across his top works, Nekoo's research meaningfully bridges theoretical control design and practical robotic implementation.
Research Focus
Key Achievements
Top Papers
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- 2How ornithopters can perch autonomously on a branch86 citations · 2022
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