Fariba Bahrami
Papers
8
Total Citations
47
H-Index
4
About
Fariba Bahrami’s research bridges robotics, neuroscience, and rehabilitation engineering, focusing on how biological principles can inspire more natural and efficient movement in machines and assistive devices. Her work centers on computational motor control, particularly the hierarchical and modular organization of the central nervous system (CNS) during arm reaching and sit-to-stand transfers. She introduced a hierarchical nonlinear predictive control model based on muscle synergies to explain CNS control of arm movements, and developed a biologically inspired control structure for bipedal sit-to-stand transfer—both cited 7 times. Her most cited paper (18 citations) details the design of a multi-axis force sensor using the Hall effect with a decoupled structure, a key contribution to haptic sensing. Bahrami also advanced energy-efficient gait planning for biped robots using movement elements, and designed a planar parallel robot to study human reaching. Her recent work includes a web-based gamified upper extremity rehabilitation system and a soft exosuit (BAExo) with compliant biarticular actuators for gait assistance. These contributions demonstrate her impact in creating more intuitive, adaptive, and human-centered robotic and rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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- 6Distributed series elastic actuator: Analysis and simulations2 citations · 2012
- 7A web-based gamification of upper extremity robotic rehabilitation2 citations · 2021
- 8From a biological template model to gait assistance with an exosuit2 citations · 2020