Ramin Sedaghati
Papers
15
Total Citations
241
H-Index
7
About
Ramin Sedaghati is a prominent researcher whose work spans intelligent control systems, soft robotics, and smart materials — fields at the intersection of mechanical engineering, applied mathematics, and artificial intelligence. He has made significant contributions to the modeling and control of uncertain robotic systems, most notably through his highly cited 2020 work on neural-network-based sliding-mode control, which garnered 134 citations by innovatively coupling dynamic model approximation with adaptive switching gain to enhance robot performance under uncertainty. More recently, Sedaghati has established himself as a leading voice in magnetoactive soft robotics and smart materials, developing sophisticated nonlinear dynamic models for hard-magneto-viscoelastic structures, magnetorheological elastomers, and soft continuum robots navigating complex fluidic environments. His integration of AI-driven control strategies with these advanced material systems reflects a distinctive interdisciplinary vision. His 2024 and 2025 contributions — including fractional viscoelastic modeling and a comprehensive review of magnetoactive metamaterials — demonstrate a commitment to pushing theoretical boundaries while maintaining experimental validation. Collectively, his body of work positions him as an influential figure shaping the future of adaptive structures, intelligent robotics, and next-generation smart material systems.
Research Focus
Key Achievements
Top Papers
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- 7OPTIMAL DESIGN PARAMETERS OF RECONFIGURABLE ROBOTS WITH LOCKABLE JOINTS7 citations · 2017
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- 9Magnetoactive Metamaterials: A State‐of‐the‐Art Review5 citations · 2025
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