T. Shanmugapriya

Papers

Total Citations

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About

T. Shanmugapriya is a researcher at the intersection of robotics, neuroscience, and human-machine interaction, with a primary focus on brain-computer interface (BCI) systems. Her work explores how non-invasive electroencephalography (EEG) signals can be harnessed to control robotic systems, offering transformative possibilities for assistive technology and manufacturing applications. Her most cited paper, "Robotics and the Brain-Computer Interface System: Critical Review for Manufacturing Application" (2014, 20 citations), provides a comprehensive analysis of how BCI can bypass traditional neural pathways to accelerate human sensor-effector systems in industrial settings. In a related study, "EEG-Based Control of Reaching To Visual Targets" (2013), she quantified reaching movement performance using EEG signals, demonstrating the potential for BCI to enable precise motor control without physical limb movement. Though her citation counts are modest, Shanmugapriya’s contributions are notable for bridging theoretical BCI research with practical, real-world applications—particularly in manufacturing and rehabilitation. Her work underscores a vision where humans and machines collaborate seamlessly, empowering individuals with motor impairments and enhancing productivity in automated environments.