Fahad Mirza

The University of Texas at Arlington, Next Generation Technology (United States)

Papers

Total Citations

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About

Fahad Mirza’s research lies at the intersection of soft robotics, human-robot interaction, and sensor integration, with a focus on making assistive robots safe and intuitive for everyday human environments. His most cited work, “Piezoresistive pressure sensor array for robotic skin” (2016, 19 citations), introduces a tactile sensing system that gives robots a sense of touch—critical for safe physical interaction in homes, schools, and hospitals. Mirza’s investigation of human-robot interface performance in household settings (2016, 15 citations) addresses the challenge of pre-programming robots for unpredictable, cluttered spaces, proposing adaptive interfaces that improve robot autonomy and user trust. His third key paper, on multi-modal sensor and HMI integration (2015, 7 citations), combines vision, tactile, and control algorithms to create more responsive personal robots. Collectively, Mirza’s contributions advance the development of robots that can perceive and respond to human needs without exhaustive pre-programming, bridging the gap between rigid industrial automation and flexible, socially aware assistance. His work is foundational for researchers designing next-generation robotic companions for dynamic, human-centered settings.