Yousef Alharbi

Papers

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About

Yousef Alharbi is a researcher at the forefront of assistive robotics and human-computer interaction, with a particular focus on enhancing mobility and independence for individuals with disabilities. His most cited work, "Steering a Robotic Wheelchair Based on Voice Recognition System Using Convolutional Neural Networks" (2022, 45 citations), addresses a critical challenge in assistive technology: enabling users who rely on wheelchairs to navigate independently without constant caregiver assistance. Alharbi designed and implemented a low-cost, voice-controlled smart wheelchair system that leverages convolutional neural networks for accurate speech recognition, significantly improving user autonomy and quality of life. This contribution exemplifies his broader research agenda in developing intelligent, accessible robotic systems that bridge the gap between advanced machine learning and practical, real-world assistive devices. By prioritizing affordability and user-centered design, Alharbi’s work has the potential to democratize access to smart mobility solutions, making a tangible impact on the lives of millions. His research continues to push the boundaries of how AI and robotics can serve vulnerable populations, establishing him as a promising voice in the field of assistive technology.