Yew Guan Soo

Technical University of Malaysia Malacca

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About

Yew Guan Soo’s research lies at the intersection of robotics, computer vision, and rehabilitation engineering, with a focus on creating intelligent systems that perceive, assist, and interact with humans. His work on dynamic image stitching for moving objects (8 citations) advances environment perception for indoor robots, enabling a full global view from low-cost visual sensors—a critical step for autonomous navigation. In rehabilitation, Soo developed a novel upper limb training system using UR5 robot arms integrated with sEMG and IMU sensors (5 citations), allowing patients with physical disabilities to receive professional, remote-guided therapy even when expert trainers are unavailable. His ceiling feature-based vision control system for service robots (2 citations) further demonstrates his commitment to practical, affordable solutions for daily assistance and navigation. By combining sensor fusion, real-time control, and human-robot interaction, Soo’s contributions directly address real-world challenges in assistive robotics and automated perception. His work is particularly notable for bridging the gap between low-cost hardware and high-functionality systems, making advanced robotic assistance more accessible.