Fariba Bahrami

University of Tehran

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

4
H-Index
8
Papers
47
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design and development of a multi-axis force sensor based on the hall effect with decouple structure
18 citations · 2022
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago