Muhammad Naim

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About

Muhammad Naim’s research lies at the intersection of rehabilitation robotics and human–machine interaction, with a particular focus on developing control techniques for multi-fingered robotic hands. His most-cited work, “Control Techniques of Multi-Fingered Hand for Rehabilitation” (2020, 4 citations), explores the design and functionality of robotic hands for therapeutic applications, addressing the growing need for assistive devices in clinical and home settings. Naim’s contributions center on improving the dexterity and responsiveness of robotic hands, enabling more natural and effective rehabilitation for patients with motor impairments. By investigating control algorithms that mimic human hand movements, his work has laid groundwork for affordable, accessible robotic aids. Though early in his citation impact, Naim’s research is notable for its practical orientation toward real-world deployment, bridging engineering and healthcare. His studies reflect a commitment to translating robotic innovation into tangible benefits for rehabilitation, making his work a valuable resource for students and researchers interested in assistive robotics and human-centered design.