Muhammad Rafqi Azharfianto

Papers

Total Citations

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About

Muhammad Rafqi Azharfianto is a researcher focused on the intersection of augmented reality (AR) and human-computer interaction, with a particular emphasis on gesture-based control systems. His most cited work introduces an innovative approach to remote vehicle operation, combining AR technology with fuzzy logic methods to interpret hand gestures as driving commands. This system allows users to control vehicles from a distance, significantly reducing the physical risks associated with navigating hazardous environments. By enabling intuitive, touch-free interaction, Azharfianto’s research addresses key challenges in teleoperation and driver training, offering a safer alternative for learners and professionals alike. His work has garnered attention for its practical application of AR in real-world scenarios, bridging the gap between virtual interfaces and physical control. With a citation count of 2 for his leading paper, Azharfianto’s contributions highlight the potential of gesture recognition and fuzzy logic in advancing autonomous and remote driving technologies, marking him as an emerging voice in the field of intelligent transportation systems.