A. Raoufi
Papers
2
Total Citations
12
H-Index
2
About
A. Raoufi’s research centers on the precision control of pneumatic robotic systems for industrial manufacturing, with a particular focus on grinding and force regulation. His major contributions lie in developing advanced control strategies for pneumatic gantry robots used in edge-grinding steel blanks. In his most cited work (10 citations), Raoufi pioneered a neuro-fuzzy approach to PID tuning, using an adaptive neuro-fuzzy inference system (ANFIS) to model the relationship between controller gains and output response—significantly improving grinding accuracy. His subsequent experimental work demonstrated that regulating applied force to 30 N markedly enhanced surface quality, while systematically evaluating three pneumatic circuit and force control configurations. Though his citation counts are modest, Raoufi’s work is notable for bridging classical control theory with intelligent systems in a challenging pneumatic actuation context, offering practical solutions for automated finishing processes. His research provides foundational insights for engineers working on force-controlled robotic deburring and grinding, particularly where pneumatic compliance and precision must coexist.
Research Focus
Key Achievements
Top Papers
- 1
- 2