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About

Hazry Desa is a researcher specializing in autonomous mobile robotics, control systems, and human-robot interaction. His work focuses on solving fundamental challenges in robot navigation, including differential steering control, vision-based tracking, and user interface design. His most cited paper, "A differential steering control with proportional controller for an autonomous mobile robot" (2011, 27 citations), addresses the complex dynamics of steering control under real-world constraints like actuator limitations and time delays. He also contributed to web-based robot control interfaces, making advanced robotics more accessible through user-friendly communication systems. In "Vision based tracking control of an autonomous mobile robot in an indoor environment" (2011, 7 citations), Desa developed a target acquisition scheme using fuzzy logic and vision sensors for accurate real-world coordinate measurement. His recent work extends into cybersecurity, exploring explainable AI for IoT device and robotic communication phishing detection (2025). Additionally, he has advanced dead reckoning systems for non-holonomic mobile robots through graphical user interface development. With a career spanning from foundational navigation studies to cutting-edge AI security applications, Desa's research demonstrates a consistent commitment to making autonomous systems more reliable, intuitive, and secure.