Hmida Hmaied
Papers
2
Total Citations
10
H-Index
2
About
Hmida Hmaied is a researcher specializing in rehabilitation robotics and model predictive control (MPC), with a focus on developing intelligent systems for upper limb therapy. His work centers on the design and control of elbow joint orthosis robots, aiming to improve rehabilitation outcomes for patients with motor impairments. Hmaied’s major contributions include the development of an embedded Hildreth-based MPC framework for constrained control of an elbow joint orthosis, enabling both passive and resistive rehabilitation movements while respecting hard and soft constraints. This approach addresses the challenge of unknown patient-specific limb dynamics by relying solely on the orthosis model. His research demonstrates practical impact, with his most-cited paper, “An embedded Hildreth-based model predictive control of an Elbow Joint Orthosis Robot” (2022), garnering 6 citations, and his earlier work on design and control for passive therapy (2021) receiving 4 citations. These contributions highlight his expertise in bridging control theory and robotic rehabilitation, offering scalable solutions for didactic and clinical applications. Hmaied’s work is notable for its integration of fast quadratic programming solvers into embedded systems, advancing the feasibility of real-time, constraint-aware control in medical robotics.
Research Focus
Key Achievements
Top Papers
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