Mohamed Amine Alouane
Papers
3
Total Citations
68
H-Index
3
About
Mohamed Amine Alouane is a leading researcher in the fields of human-robot interaction (HRI), mechatronics, and rehabilitation robotics, with a focus on developing intelligent systems that restore and augment human motor function. His most influential work, a 2019 paper on force control for series elastic actuator (SEA)-based exoskeletons (62 citations), introduces a groundbreaking proxy-based method that seamlessly transitions between zero-impedance, force assistive, and large force modes. By integrating a two-mass dynamic model with a nonlinear disturbance observer, Alouane achieved unprecedented precision in human-robot collaboration, directly impacting the design of safer, more responsive wearable robots. He has also made notable contributions to medical robotics, designing and instrumenting a cost-effective 3-PRS parallel robotic platform for vertigo diagnosis and rehabilitation, and advancing predictive control through deep learning models that forecast human joint movement from surface electromyography (sEMG) data. His work bridges the gap between theoretical control systems and practical clinical applications, offering transformative solutions for individuals with neurological conditions such as stroke and spinal cord injury. Alouane’s research continues to shape the future of assistive technology, earning him recognition as a key innovator in the field.
Research Focus
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Top Papers
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