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About

Sami Fauzan Ramadhan is a robotics and autonomous systems researcher whose work has made a meaningful contribution to healthcare technology, particularly in the context of the COVID-19 pandemic. His research centers on mobile robot navigation, simultaneous localization and mapping (SLAM), and LiDAR-based sensing systems, with a strong focus on deploying intelligent robots in medical environments to reduce human exposure to infectious disease. Ramadhan's most influential work, "Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-19" (2021, 10 citations), demonstrated how autonomous navigation could be integrated into hospital robots to support physical distancing protocols. This was complemented by his development of medical robots combining 2D LiDAR and IMU sensors, addressing the critical shortage of personal protective equipment for healthcare workers. His subsequent research advanced these systems further, incorporating 3D LiDAR with RTAB-MAP methodology and RPLiDAR-based mapping to enhance navigation reliability in complex indoor environments. With a growing citation record across four key publications totaling 23 citations, Ramadhan represents an emerging voice in applied robotics research, bridging sensor fusion, autonomous navigation, and real-world healthcare challenges during one of the most demanding periods in modern medicine.