Shanmugapriya Velmurugan

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Shanmugapriya Velmurugan is a rising researcher at the forefront of intelligent automation, whose work bridges the critical gap between robotic control and machine learning. Her primary research areas center on fault detection, state estimation, and the integration of advanced algorithms into industrial robotic systems. In her highly cited 2023 paper, "Fault detection and state estimation in robotic automatic control using machine learning," Velmurugan addresses a pressing challenge in modern manufacturing: ensuring the reliability and precision of robotic mechanisms. By applying machine learning techniques to automatically detect anomalies and estimate system states, she has provided a pathway for enhancing service quality in commercial and industrial sectors where robots, end effectors, and anchors are deployed. This work, which has already garnered 20 citations, demonstrates her ability to translate complex theoretical models into practical solutions for production lines. Her contributions are particularly notable for their potential to reduce downtime and improve safety in automated environments. As a researcher committed to advancing the robustness of robotic systems, Velmurugan is establishing herself as a key voice in the evolution of smart manufacturing and autonomous control.