Manuel Ramos

University of the Philippines System, University of the Philippines Diliman

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About

Manuel Ramos is a robotics and automation researcher whose work bridges agricultural technology, autonomous systems, and human-assistive robotics. His most impactful contribution, the 2017 study on NDVI image extraction using an autonomous quadcopter with a filter-modified camera (17 citations), demonstrates a practical application of drone technology for precision agriculture, enabling efficient crop health monitoring through normalized difference vegetation index analysis. Ramos has also made notable advances in bipedal robotics, designing a closed-loop static balance system for the YICAL Leg 2 biped (7 citations), which integrated attitude estimation for real-time stability control. His more recent projects showcase applied autonomous systems, including a vision-based person-following robotic suitcase capable of speeds up to 1.7 m/s and an automated braking system for trajectory-tracking vehicles aimed at reducing traffic accidents. Through these diverse contributions—from agricultural UAVs to assistive robotics and vehicle automation—Ramos demonstrates a consistent focus on developing practical, sensor-driven autonomous systems that solve real-world problems in farming, mobility, and transportation safety.