Belal Alsinglawi

Papers

Total Citations

164

H-Index

About

Belal Alsinglawi is a researcher at the intersection of rehabilitation robotics and intelligent indoor systems, whose work bridges healthcare technology and autonomous navigation. His most impactful contribution is a comprehensive systematic review on exoskeletons combined with virtual reality, augmented reality, and gamification for stroke patients' rehabilitation, which has garnered 150 citations. This seminal work established a foundation for understanding how immersive technologies can enhance patient motivation and recovery outcomes in robot-assisted therapy. Alsinglawi has also made significant strides in indoor positioning and robotics, developing novel algorithms for mobile robot navigation in Internet of Things environments, including an effective local minima detection algorithm that outperforms traditional wall-following approaches. His recent research explores the integration of Wi-Fi and machine learning for indoor positioning in Industry 5.0 contexts, where humans and robots collaborate to enhance performance. By addressing the persistent challenge of accurate indoor localization, Alsinglawi's work contributes to the practical realization of smart, human-centric industrial environments. His research demonstrates a commitment to applying cutting-edge technology—from rehabilitation exoskeletons to autonomous navigation—to solve real-world problems with measurable impact.