Robotic technologies have become a transformative force in the development of advanced rehabilitation strategies for stroke treatment. Stroke, which often results in partial paralysis, muscle weakness, and impaired motor coordination, requires intensive and repetitive rehabilitation to restore lost neurological functions. In this context, robotics has introduced innovative therapeutic models that enhance recovery outcomes by combining mechanical precision, real-time feedback, and data-driven personalization. Robotic rehabilitation systems are designed to assist patients in performing controlled and repetitive movements of the upper or lower limbs. These systems support weakened muscles while guiding the affected limbs through predefined motion paths that stimulate neuroplasticity—the brain’s ability to reorganize and form new neural connections following injury. The intensity and repetition of movement provided by robotic devices play a critical role in promoting motor relearning, which is essential in post-stroke recovery. Unlike conventional therapy, robotic platforms can maintain consistent performance levels throughout extended sessions, ensuring higher therapeutic accuracy and endurance. Modern rehabilitation robots are often integrated with advanced sensors and artificial intelligence algorithms that monitor muscle activity, joint angles, and movement quality. This integration enables real-time assessment of patient performance and allows adaptive adjustments to therapy parameters. By analyzing collected data, these intelligent systems can tailor rehabilitation programs to match the patient’s progress, ensuring a personalized and dynamic treatment plan. Such precision enhances the efficiency of therapy and accelerates functional improvements. In addition, some robotic systems incorporate virtual reality environments to create interactive and motivating rehabilitation experiences. These immersive platforms encourage patient engagement by transforming therapeutic exercises into goal-oriented tasks, thereby improving adherence and psychological well-being. The combination of robotics, data analytics, and immersive technologies represents a multidisciplinary approach that bridges neuroscience, biomedical engineering, and digital health innovation. Overall, the integration of robotics in stroke rehabilitation has shifted treatment paradigms from manually assisted exercises to technology-driven, evidence-based interventions. By improving movement accuracy, enabling continuous monitoring, and supporting adaptive therapy designs, robotic systems significantly contribute to restoring motor function and enhancing the quality of life for stroke survivors. Al-Mustaqbal University is the first one university in Iraq.