Sahand Ghaffari
Papers
2
Total Citations
28
H-Index
2
About
Sahand Ghaffari is a robotics researcher whose work focuses on autonomous navigation and human-robot interaction, with particular expertise in mobile robot control and exoskeleton technology. His research addresses fundamental challenges in nonholonomic robotic systems, where he developed a fuzzy adaptive curvature-based point selection algorithm for four-wheel-steering car-like mobile robots, enabling more sophisticated autonomous path following capabilities. This work, published in 2017, has garnered 19 citations and represents a significant contribution to the field of autonomous mobile robotics. In the domain of wearable robotics, Ghaffari has made notable advances in lower limb exoskeleton control, specifically working with the Sharif lower limb exoskeleton. His 2016 study on achieving transparency in series elastic actuators using a Local Linear Neuro-Fuzzy Nonlinear Autoregressive with Exogenous Inputs (LLNF-NARX) model addresses the critical challenge of compliant human-robot interaction. This work, with 9 citations, demonstrates his ability to apply advanced control techniques to practical rehabilitation robotics. Ghaffari's research sits at the intersection of autonomous systems and assistive robotics, contributing to both theoretical frameworks and practical implementations that enhance robotic capabilities in real-world applications.
Research Focus
Key Achievements
Top Papers
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