Yarooq Raza

University of Kuala Lumpur, American University of Iraq Sulaimani

Papers

Total Citations

H-Index

About

Yarooq Raza is a leading researcher in rehabilitation robotics, with a focused expertise in advanced control systems for upper limb exoskeletons. His work centers on optimizing Proportional-Integral-Derivative (PID) controllers using nature-inspired meta-heuristic algorithms to improve the performance and safety of robotic therapy devices for post-stroke patients. Raza’s most impactful contribution is his 2019 paper on an "Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot," which has garnered 59 citations. In this work, he proposed a novel tuning technique for the RAX-1, a two-degree-of-freedom robotic arm exoskeleton, significantly enhancing its control precision. He has further advanced the field by applying Particle Swarm Optimization (PSO) and Firefly algorithms to PID tuning, as well as conducting a comprehensive review of Sliding Mode Controllers for rehabilitation robots. His research directly addresses the critical challenge of providing smooth, comfortable, and effective therapeutic exercises, making him a notable figure in the intersection of robotics and neurorehabilitation.