Bushra Nazir

Papers

Total Citations

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About

Bushra Nazir is a researcher at the forefront of human-computer interaction (HCI) and artificial intelligence, with a focused interest in gesture-based robotic control systems. Her most cited work, "Controlling a Robot Using a Wearable Device (MYO)" (2017), explores the integration of wearable technology—specifically the MYO armband—to enable intuitive, gesture-driven operation of robots. This research addresses the growing demand for advanced military and assistive robotics, proposing a hands-free control paradigm that bridges the gap between human intent and machine action. By demonstrating how electromyography (EMG) signals can be translated into robotic commands, Nazir contributes to safer, more efficient human-robot collaboration. Though her citation count is currently modest, her work represents an early, practical step toward wearable-controlled automation, a field with significant implications for defense, healthcare, and industry. Her research underscores a commitment to making robotic systems more accessible and responsive, laying groundwork for future innovations in gesture-based interfaces and autonomous systems.