Ardy Seto Priambodo

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About

Ardy Seto Priambodo is a robotics researcher whose work centers on intelligent control systems, computer vision, and autonomous navigation. His most impactful contribution, the 2021 paper "Face Tracking for Flying Robot Quadcopter based on Haar Cascade Classifier and PID Controller," has garnered 22 citations and demonstrates a practical fusion of machine vision and classical control. By integrating a Haar cascade classifier with a PID controller, Priambodo enabled a quadcopter to reliably detect and follow a human face—a foundational step for human-robot interaction and surveillance applications. In 2022, he advanced mobile robot navigation with "Vortex Artificial Potential Field for Mobile Robot Path Planning" (7 citations), introducing a novel scheme to escape the local minima traps that plague traditional potential field methods. His recent work in 2025 applies inverse kinematics to a 5-DOF robotic arm using digital image processing, bridging visual feedback with precise manipulator control. Priambodo’s research is characterized by its hands-on, systems-level approach—combining algorithms for perception, planning, and actuation—making his work directly relevant to students and engineers building real-world autonomous robots.