T. Aulia Rahman

Papers

Total Citations

H-Index

About

T. Aulia Rahman is a researcher whose work sits at the intersection of robotics, sensor systems, and bio-inspired navigation. His primary research focus is on olfactory mobile robotics—specifically, developing behavior-based systems that allow robots to detect, localize, and respond to gas or odor sources in dynamic environments. His most cited paper, "A New Navigation of Behavior-Based Olfactory Mobile Robot" (2013, 8 citations), introduces a novel application where a mobile robot uses a dynamic olfaction system equipped with two gas sensors capable of rotating 180 degrees. This design enables the robot to actively sample and interpret odor properties, mimicking biological olfactory strategies for navigation. Rahman’s contribution lies in integrating sensor mobility with behavior-based control, advancing the field of electronic noses and autonomous environmental sensing. While his citation count is modest, his work represents an early and creative step in applying olfactory perception to robotics, a niche area with growing relevance in environmental monitoring, search-and-rescue, and industrial safety. For students and researchers interested in bio-inspired robotics or chemical sensing, Rahman’s approach offers a foundational example of how simple, dynamic sensor systems can enable intelligent navigation.