Melvin K. Cabatuan

Papers

Total Citations

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About

Melvin K. Cabatuan is a robotics and computer vision researcher whose work focuses on developing intelligent systems for child safety and monitoring. His primary research areas include mobile robotics, vision-based detection and tracking, and human-robot interaction for assistive technologies. Cabatuan’s major contributions center on the design and implementation of spherical mobile robots capable of autonomously tracking and monitoring children in indoor environments—a novel approach that addresses critical gaps in stationary surveillance systems. His most cited paper, “Spherical Mobile Robot for Monitoring and Tracking Children Indoors” (2019, 4 citations), proposes a compact, child-friendly robotic platform that can navigate dynamic indoor spaces to prevent accidents. A related work, “A Vision-Based Detection and Tracking Algorithm for a Child Monitoring Robot” (2019, 3 citations), introduces robust computer vision algorithms for real-time child detection and tracking. Though his citation counts are modest, Cabatuan’s work is notable for its practical, application-driven approach to solving real-world safety challenges, combining mechanical design with intelligent perception. His research holds promise for reducing preventable childhood injuries through affordable, autonomous monitoring solutions.