Farimah Fazlollahi

Shiraz University, Max Planck Institute for Intelligent Systems

Papers

Total Citations

H-Index

About

Farimah Fazlollahi is a researcher whose work bridges robotics, haptics, and intelligent systems. Her research focuses on the dynamic modeling and experimental validation of robotic systems, particularly in the context of inspection robots and haptic feedback devices. One of her most cited contributions is the development of a dynamic model for an out-pipe inspection robot, which she validated using image processing techniques—a study that has garnered 9 citations and demonstrates her ability to integrate theoretical modeling with practical experimentation. More recently, she introduced *Haptify*, a groundbreaking benchmarking system for grounded force-feedback (GFF) devices. This system addresses a critical gap in haptic technology by providing a standardized, noninvasive method to compare diverse GFF devices, enabling fair and thorough evaluation. With 5 citations, this work highlights her commitment to advancing measurement standards in haptics. Fazlollahi’s research not only enhances the design and assessment of robotic and haptic systems but also lays the groundwork for more reliable and comparable technologies in human-robot interaction. Her contributions are particularly valuable for students and researchers seeking to understand the intersection of robotics, control systems, and sensory feedback.