Mobin Salehi

Papers

Total Citations

H-Index

About

Mobin Salehi’s research lies at the intersection of miniature robotics, magnetic actuation, and intelligent control systems. His most-cited work, “Position control of a wheel-based miniature magnetic robot using neuro-fuzzy network” (2022, 5 citations), introduces a novel approach to precisely maneuvering untethered small-scale robots. By designing a two-wheeled magnetic robot with a dipole and employing a neuro-fuzzy controller, Salehi addresses key challenges in non-contact actuation and positioning—critical for applications in confined or delicate environments. This contribution showcases his ability to merge soft computing techniques with mechanical design to enhance robotic autonomy and precision. Salehi also explored the broader implications of robotics in extreme settings, as seen in his earlier work on automation in radiation environments (1993, 2 citations), demonstrating a sustained interest in robots operating under hazardous conditions. Though his citation counts are modest, his research offers foundational insights into magnetic microrobotics and intelligent control, appealing to students and researchers working on miniaturized systems, medical robotics, or adaptive control strategies. Salehi’s work exemplifies how targeted innovations in actuation and algorithm design can push the boundaries of what small-scale robots can achieve.