Lynda Seddiki

Papers

Total Citations

H-Index

About

Lynda Seddiki is a researcher in rehabilitation robotics, with a focus on developing intelligent control systems for assistive medical devices. Her primary research areas include human-robot interaction, trajectory generation, and user-intention-based control for lower-limb rehabilitation technologies. Her most-cited work, "Trajectory generator design based on the user's intentions for a CMC lower-limbs rehabilitation device" (2014), introduces a two-level control structure for a closed muscular chain rehabilitation device called Sys-Reeduc. This contribution is notable for prioritizing patient safety by adapting robotic assistance to the user’s real-time intentions, a key challenge in rehabilitation engineering. With 4 citations, this paper has informed subsequent efforts in patient-centered robotic therapy. Seddiki’s work bridges mechanical design and control theory, aiming to make rehabilitation devices more responsive and safer for individuals recovering from lower-limb impairments. Her research is particularly relevant for students and engineers interested in the intersection of robotics, biomechanics, and human-centered design, offering a foundation for developing intuitive, adaptive rehabilitation systems that respect user autonomy while ensuring therapeutic efficacy.