Farsam Farzadpour
Islamic Azad University, Isfahan, Islamic Azad University, Tehran
Papers
3
Total Citations
26
H-Index
3
About
Farsam Farzadpour is a robotics researcher whose work centers on the dynamics, control, and trajectory optimization of biped walking robots. His research has made meaningful contributions to the field of legged locomotion, particularly in addressing the complex challenges of generating stable, human-like gait in multi-link robotic systems. Farzadpour's most recognized contribution is his development of multi-phase dynamic equations for seven-link biped robots, with a particular focus on modeling feet rotation during the double support phase — a critical yet often oversimplified aspect of bipedal walking. His 2014 paper on this topic has accumulated 10 citations and remains a key reference for researchers tackling realistic gait modeling. Complementing this work, his 2012 study introduced a Genetic Algorithm (GA)-based trajectory generation method that incorporates Zero Moment Point (ZMP) stability criteria to produce faster, more naturalistic locomotion, garnering 8 citations. His 2013 paper, also with 8 citations, proposed a novel hybrid intelligent control algorithm designed to handle the varied and unpredictable conditions biped robots encounter in practice. Together, these works reflect Farzadpour's sustained effort to bridge theoretical modeling with practical, robust control solutions in humanoid robotics.
Research Focus
Key Achievements
Top Papers
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