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About

Mahyar Naraghi is a robotics and biomechanics researcher whose work bridges two compelling domains: the dynamics of bipedal locomotion and the control of wheeled mobile robots. His investigations into passive dynamic walking have shed light on fundamental questions about how humans and machines achieve stable, efficient movement. His 2007 study on simplest walking models with staircase terrain (47 citations) and subsequent work exploring how local slopes stabilize passive bipedal locomotion (30 citations) have meaningfully advanced understanding of energy-efficient gait mechanics. Complementing this, Naraghi has made significant contributions to skid-steer wheeled mobile robot (SSWMR) control, addressing the challenging slipping phenomena inherent to these platforms. His robust adaptive stabilization and posture control frameworks for SSWMRs (27 and 24 citations respectively) remain widely referenced, while his sliding mode fuzzy control approaches for path following demonstrate a talent for combining classical and intelligent control methodologies. Additional contributions include perturbation-theory analyses of periodic gaits, reversible switching surfaces for walking stability improvement, and homotopy-based optimal trajectory planning for robotic manipulators. Across his body of work, Naraghi consistently tackles practical control challenges with rigorous mathematical foundations, making his research valuable to engineers and scientists working at the intersection of robotics, dynamics, and autonomous systems.