Nursabillilah Mohd Ali

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Nursabillilah Mohd Ali is a robotics researcher focused on intelligent mobile platforms and human-robot interaction. Their work bridges computer vision and voice recognition to create more accessible and responsive robotic systems. In their most-cited study, "Sign Detection Vision Based Mobile Robot Platform" (2017, 5 citations), they developed a vision system for an electric-powered mobile robot that captures and interprets pathway signs, enabling autonomous navigation and enhancing visitor interaction. This work demonstrates a practical application of real-time image processing for service robotics. Expanding into multimodal control, their 2018 paper "Develop and Implementation of Voice Recognition Robotic Car" (2 citations) introduced a voice command system capable of recognizing five distinct spoken instructions to direct a robotic car. While focused on isolated word recognition rather than continuous speech, this contribution laid groundwork for hands-free robotic operation. Though their citation counts are modest, Ali’s research represents foundational steps in integrating sensory perception with robotic mobility—critical for developing assistive and interactive robots. Their work contributes to the growing field of autonomous systems that can understand both visual cues and verbal commands, offering a glimpse into more intuitive human-robot collaboration.