Abdulrahman Alqahtani
Papers
1
Total Citations
45
H-Index
1
About
Dr. Abdulrahman Alqahtani is a leading researcher in assistive robotics and human–machine interaction, with a focus on developing intelligent systems that restore independence to individuals with mobility impairments. His most cited work, "Steering a Robotic Wheelchair Based on Voice Recognition System Using Convolutional Neural Networks" (2022, 45 citations), addresses a critical challenge: enabling wheelchair users to control their movement autonomously without relying on caregivers. By designing and implementing a low-cost, voice-controlled smart wheelchair powered by convolutional neural networks, Dr. Alqahtani demonstrated a practical, scalable solution that significantly enhances user quality of life and self-reliance. This contribution sits at the intersection of deep learning, embedded systems, and rehabilitation engineering. His research not only advances the technical frontier of robotic mobility aids but also emphasizes real-world usability and affordability, making assistive technology more accessible. With growing recognition in the field, Dr. Alqahtani’s work continues to inspire new approaches to human-centered robotics, bridging the gap between cutting-edge AI and tangible improvements in daily living for people with disabilities.
Research Focus
Key Achievements
Top Papers
- 1