Abdur Razzaq Fayjie

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About

Abdur Razzaq Fayjie is a researcher at the forefront of human-machine interaction and unmanned aerial vehicle (UAV) systems, with a particular focus on making drone control more intuitive and accessible. His most-cited work, "Voice enabled smart drone control" (2017, 25 citations), addresses a critical gap in the field: the need for low-cost, real-time, and adaptive voice-based control systems for UAVs. By integrating speech technology with drone navigation, Fayjie’s research pushes the boundaries of smarter technology, enabling hands-free operation that could revolutionize applications from search-and-rescue to personal aerial assistance. His contributions lie in bridging the gap between advanced speech recognition and practical, cost-effective drone control, demonstrating how human-machine interaction can evolve beyond traditional interfaces. With 25 citations, this work has laid a foundation for subsequent studies in voice-activated robotics and autonomous systems. Fayjie’s achievements highlight his commitment to making cutting-edge technology more user-friendly, positioning him as a key innovator in the intersection of artificial intelligence, robotics, and human-centered design.