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Total Citations
17
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About
Sagar Gupta is a researcher in robotics and control systems, with a focus on estimation, modeling, and precision control of flexible robotic manipulators. His work addresses the critical challenge of accurately determining tool position in industrial robotic arms, where flexibility in joints and links introduces significant estimation errors. In his most cited paper, "Kalman Filter and Variants for Estimation in 2DOF Serial Flexible Link and Joint Using Fractional Order PID Controller" (2021), Gupta pioneered the integration of fractional-order PID controllers with Kalman filter variants to improve state estimation in flexible-link robots. This simulation-based study, which has garnered 17 citations, demonstrates how advanced filtering techniques can enhance forward kinematics accuracy—a fundamental requirement for high-precision industrial automation. By combining fractional calculus with classical control and estimation theory, Gupta’s work offers a novel pathway for reducing positioning errors in lightweight, flexible robotic systems. His research is particularly valuable for students and engineers working on next-generation robotic arms, where flexibility is both a design advantage and a control challenge. Gupta’s contributions continue to influence the development of more reliable and accurate robotic manipulators for manufacturing and automation.
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