Mahdieh Babaiasl
Papers
7
Total Citations
268
H-Index
5
About
Mahdieh Babaiasl is a researcher at the forefront of rehabilitation robotics and nonlinear control systems, whose work bridges engineering innovation with clinical impact. Her primary research areas include robot-aided rehabilitation for stroke survivors, exoskeleton design, and advanced control strategies for medical robotics. Babaiasl’s most influential contribution is her comprehensive review of technological and clinical aspects of robot-aided upper-extremity rehabilitation after stroke, which has garnered 181 citations—a testament to its foundational role in the field. She has also made significant strides in developing novel exoskeleton robots for shoulder rehabilitation, as demonstrated in her papers on sliding mode control and Lyapunov-based control, which address the critical need for restoring arm function in stroke patients. Her work extends to robotic needle steering, where she has outlined state-of-the-art challenges, and to nonlinear control theory, including neural network-based asymptotic tracking. Notably, Babaiasl’s designs are anthropomorphic and patient-centered, emphasizing practical deployment in clinical settings. With a citation count exceeding 250 across her publications, she is recognized for translating complex control theory into tangible rehabilitation solutions, making her a key figure in advancing assistive robotics for motor recovery.
Research Focus
Key Achievements
Top Papers
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- 3Robotic needle steering: state-of-the-art and research challenges25 citations · 2022
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