Mehdi Aslinezhad

Shahid Sattari University of Aeronautical Engineering

Papers

Total Citations

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About

Mehdi Aslinezhad is a researcher at the forefront of soft robotics and cyber-physical systems, with a focus on developing intelligent, adaptive actuators for industrial applications. His most-cited work, "Adaptive neuro-fuzzy modeling of a soft finger-like actuator for cyber-physical industrial systems" (2020, 9 citations), exemplifies his innovative approach to bridging soft robotics with computational intelligence. In this study, Aslinezhad pioneered the use of adaptive neuro-fuzzy inference systems (ANFIS) to model and control soft finger-like actuators, enabling precise, real-time adaptation in complex industrial environments. This contribution is critical for advancing human-robot collaboration and flexible manufacturing, where traditional rigid actuators fall short. His work has been recognized for its potential to enhance the safety and efficiency of cyber-physical systems, earning citations from researchers in robotics, control theory, and industrial engineering. Aslinezhad’s research continues to push the boundaries of soft actuation and intelligent control, offering a pathway toward more resilient and responsive industrial automation.