Ana Riza F. Quiros

Papers

Total Citations

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About

Ana Riza F. Quiros is a researcher in robotics and intelligent systems, with a focus on developing automated solutions for real-world problems using artificial intelligence and embedded control. Her work bridges the gap between theoretical AI models and practical robotic applications, particularly in object manipulation and traffic enforcement. Her most-cited paper, "Object locator and collector robotic arm using artificial neural networks" (2015, 17 citations), introduces a neural network-driven approach for a pick-and-place robotic arm, demonstrating how machine learning can enhance precision in automated object handling. Building on this, her 2018 study on a "Robotic Model Approach of an Automated Traffic Violation Detection System with Apprehension" (9 citations) presents a scaled prototype for detecting and responding to traffic violations, showcasing her interest in deploying robotics for public safety. While her citation counts reflect a growing body of work, Quiros’s contributions are notable for their hands-on, systems-level approach—combining hardware design with intelligent control. Her research offers a practical blueprint for students and engineers interested in the intersection of robotics, computer vision, and AI-driven automation.