Nithya Venkatesan

Vellore Institute of Technology University

Papers

Total Citations

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About

Nithya Venkatesan is a pioneering researcher at the intersection of brain-computer interfaces (BCI) and robotic prosthetics. Her work focuses on translating neural signals into precise, real-time control of artificial limbs, with the goal of restoring functional movement to individuals with motor impairments. Her most cited paper, "A Deep Learning Approach for Robotic Arm Control using Brain-Computer Interface" (2020, 5 citations), demonstrates how motor imagery (MI) from EEG signals can be decoded to command a robotic arm to lift and drop objects—a critical step toward intuitive, thought-driven assistive devices. Earlier, she introduced a "Novel Approach to Control of Robotic Hand Using Flex Sensors" (2014, 3 citations), developing an anthropomorphic, biomechatronic hand with five articulated fingers. More recently, in "Steady state VEP-based BCI to control a five-digit robotic hand using LabVIEW" (2022, 3 citations), she advanced the field by using steady-state visual evoked potentials (SSVEP) and a low-cost EEG amplifier, making BCI-controlled prosthetics more accessible. Venkatesan’s contributions are foundational to non-invasive, affordable neural control systems, bridging signal processing, machine learning, and mechatronics to create practical, human-centered robotic solutions.