Shokoufeh Davarzani

Amirkabir University of Technology, Columbus State University

Papers

Total Citations

H-Index

About

Shokoufeh Davarzani is a rising researcher at the intersection of soft robotics and autonomous navigation, whose work is shaping the future of rehabilitation technology and mobile robot path planning. Her most impactful contribution, a 2021 study on the design of a sensing system for experimental modeling of soft actuators applied to finger rehabilitation, has garnered 20 citations. This work addresses a critical need in stroke rehabilitation by developing pneumatically actuated soft robotic gloves that offer safe, compliant interaction with patients, advancing the field of soft rehabilitation robots. More recently, Davarzani has explored path-planning algorithms for unmanned ground vehicles, comparing RRT and RRT* methods in a 2024 study to optimize accuracy, path length, and execution time. Her research demonstrates a dual expertise in both human-centered medical robotics and autonomous systems, highlighting her versatility. With a focus on practical applications—from aiding stroke recovery to improving mobile robot navigation—Davarzani’s work is laying groundwork for safer, more efficient robotic systems. Her growing citation record and innovative approach mark her as a promising contributor to robotics and rehabilitation engineering.