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About

Dirman Hanafi is a robotics and intelligent systems researcher whose work spans autonomous mobile robot navigation, fuzzy logic control, and rehabilitation engineering. Best known for his contributions to robot navigation methodologies, Hanafi has pioneered the application of fuzzy incremental controllers and Petri net modeling to guide mobile robots through complex environments. His 2013 paper on wall-following autonomous robots, which garnered 21 citations, demonstrated how fuzzy incremental control embedded in microcontrollers could enable intelligent wheeled robots to navigate air ducts and corridors with precision. A distinctive hallmark of his research is the innovative "Mirror Petri Net" method, which draws inspiration from mirror-image reversal to develop novel mathematical frameworks for robot navigation around obstacles and intersections. Beyond navigation, Hanafi has extended his expertise into diverse domains, including underwater remotely operated vehicles, hexapod locomotion, and biomedical engineering. His work on functional electrical stimulation for spinal cord injury rehabilitation and upper limb stroke recovery devices reflects a commitment to socially impactful technology. Most recently, he proposed a 7-DOF robotic arm integrated with a Bluetooth stethoscope for remote COVID-19 patient assessment. With over 60 cumulative citations, Hanafi's research consistently bridges theoretical rigor with real-world humanitarian applications.