Papers
50
Total Citations
1,072
H-Index
18
About
Brahim Brahmi is a prominent robotics and control systems researcher whose work sits at the intersection of rehabilitation robotics, adaptive control, and human-robot interaction. He is best known for his pioneering contributions to exoskeleton robot control, particularly for upper limb rehabilitation in post-stroke patients. His highly cited 2018 paper on adaptive tracking control using time-delay estimation (111 citations) introduced a backstepping framework that elegantly handles uncertain robot dynamics and external disturbances — a foundational advance for safe, responsive rehabilitation systems. Building on this, his 2020 work on adaptive impedance control with nonlinear disturbance observers (96 citations) further refined how robots can respond naturally to human movement variability. Brahmi has also made significant strides in trajectory planning, assistive technology, and innovative robot design. His eye-gaze-controlled wheelchair-mounted robot (68 citations) exemplifies his commitment to expanding autonomy for people with severe disabilities. His dual-functionality upper limb rehabilitation robot (57 citations) represents a notable engineering achievement, combining exoskeleton and end-effector capabilities in a single platform. With nearly a dozen influential publications spanning adaptive control theory, path planning, and clinical robotics — accumulating over 650 citations — Brahmi has established himself as a leading voice in intelligent rehabilitation engineering.
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