Faizil Wasbari

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Faizil Wasbari is a robotics researcher focused on developing intuitive human-robot interaction systems, with key contributions in vision-based navigation and voice-controlled automation. His most cited work, "Sign Detection Vision Based Mobile Robot Platform" (2017, 5 citations), introduces a novel vision system integrated into an electrically powered mobile robot designed for tourist environments. By mounting a forward-facing camera to capture pathway imagery, Wasbari’s system enables real-time sign recognition, allowing the robot to navigate autonomously while providing a comfortable, interactive experience for visitors. This work bridges computer vision and service robotics, enhancing accessibility in public spaces. Expanding into auditory interfaces, his paper "Develop and Implementation of Voice Recognition Robotic Car" (2018, 2 citations) presents a voice recognition system capable of interpreting five distinct commands to control a robotic car. Prioritizing isolated word identification over continuous speech, this research demonstrates practical, low-latency control for assistive or educational robotics. Though early in his career, Wasbari’s dual focus on visual and vocal interaction channels highlights a commitment to making robots more responsive and user-friendly. His work lays groundwork for future applications in autonomous guidance systems and human-robot collaboration, particularly in tourism and assistive technologies, where seamless, natural communication is paramount.