Ma. Rica J. Rebustillo
Papers
1
Total Citations
3
H-Index
1
About
Ma. Rica J. Rebustillo is an emerging researcher in robotics and embedded artificial intelligence, with a focus on developing practical solutions for public health challenges. Her most cited work, "Jetson Nano and Arduino-Based Robot for Physical Distancing using Yolov4 Algorithm with Thermal Scanner" (2022), demonstrates her expertise in integrating computer vision, edge computing, and robotics to address real-world problems. This paper, which has garnered 3 citations, presents an autonomous robot that uses the YOLOv4 algorithm for real-time person detection and thermal scanning to enforce physical distancing during the COVID-19 pandemic. By combining a Jetson Nano for AI processing with an Arduino for motor control, Rebustillo created a low-cost, deployable system that could monitor compliance and detect fever symptoms. Her work exemplifies how embedded AI can be applied to urgent societal needs, bridging the gap between advanced algorithms and tangible hardware implementations. As a researcher, she contributes to the growing field of intelligent autonomous systems, particularly in healthcare and safety applications, showcasing the potential of accessible robotics to mitigate public health crises.
Research Focus
Key Achievements
Top Papers
- 1