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About

Aulia Rahman is a robotics researcher whose work focuses on autonomous navigation and the practical application of mobile robots in real-world scenarios. His key research areas include Simultaneous Localization and Mapping (SLAM), autonomous control systems, and human-robot interaction for disaster response. Rahman's most cited work, "Penerapan SLAM Gmapping dengan Robot Operating System Menggunakan Laser Scanner pada Turtlebot" (6 citations), demonstrates his expertise in enabling mobile robots to safely navigate and map unknown environments using advanced sensor fusion. This foundational contribution to SLAM implementation is complemented by his impactful research on "Robot Pointer sebagai Penunjuk Jalan Tim SAR" (5 citations), which developed a robotic guide to assist Search and Rescue teams in locating earthquake victims—showcasing his commitment to socially beneficial technology. Additionally, his work on autonomous lawn mowers using fuzzy logic control (3 citations) highlights his versatility in applying intelligent control systems to service robotics. Through these projects, Rahman has established himself as a researcher dedicated to bridging the gap between complex robotic algorithms and tangible, life-saving applications.