Shawgi Younis Ahmed Mounis
Papers
5
Total Citations
87
H-Index
4
About
Shawgi Younis Ahmed Mounis is a leading researcher in the field of robotic rehabilitation, specializing in assist-as-needed (AAN) control strategies for upper-limb therapy. His work focuses on developing intelligent robotic systems that adapt support based on a patient’s real-time functional ability, encouraging active participation to promote neuroplasticity and motor recovery. Mounis’s most influential paper, “Assist-as-needed control strategy for upper-limb rehabilitation based on subject’s functional ability” (2019), has garnered 53 citations and addresses a critical gap in robotic therapy by overcoming the limitations of traditional AAN applications. He has further refined this approach through innovative methods such as z-spline estimation of functional ability and progress-based assistance algorithms, as seen in his 2020 and 2017 works. Mounis has also explored advanced control systems, including 2DOF PID controllers for elbow rehabilitation and Linear Quadratic Gaussian (LQG) torque controllers, demonstrating versatility in tackling modeling and control challenges. His cumulative work, with over 85 citations, has significantly advanced patient-centered robotic therapy, offering practical solutions for neurologically impaired individuals and shaping the future of adaptive rehabilitation technology.
Research Focus
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Top Papers
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