Deris Stiawan

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About

Deris Stiawan is a researcher whose work sits at the intersection of robotics, computer vision, and embedded systems. His primary research focus is on developing intelligent navigation techniques for mobile robots, with a particular emphasis on using facial pattern recognition as a control mechanism. Stiawan’s major contributions include proposing a novel navigation method that enables mobile robots to track and follow human faces, even when operating on resource-constrained embedded platforms. He has advanced this field by implementing a facial landmarks detection method—specifically targeting the outer corners of the nose—to create geometric invariants that allow for robust, real-time face following. His most-cited paper, "Robot movement controller based on dynamic facial pattern recognition" (2021), has garnered 7 citations, while his follow-up work on facial landmarks detection (2022) has received 5 citations. These studies are notable for addressing the practical challenge of deploying sophisticated computer vision algorithms on limited hardware, making his work highly relevant for students and researchers interested in low-cost, accessible robotics. Stiawan’s research offers a clear pathway for integrating human-robot interaction into mobile platforms, bridging the gap between theoretical vision techniques and real-world robotic applications.