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About

Shourya Gupta’s research focuses on the dynamics and real-time control of robotic manipulators, with a particular emphasis on automated modeling and efficient computational solutions. His major contributions lie in developing the symbolic polynomial technique, a novel method that combines symbolic and numerical computations to rapidly and accurately solve the dynamic equations of robot arms—a critical requirement for real-time, on-line control. Gupta also derived closed-form equations of motion for robot arms and open kinematic chains using the Newton-Euler formalism, building on Vukobratovic’s method to create a framework well-suited for automatic modeling. While his citation counts (3–4 per paper) reflect a specialized, foundational impact, his work has been recognized for addressing the practical challenge of fast dynamic evaluation in robotics. His papers, published in the late 1980s, represent early efforts to bridge symbolic computation and control, offering tools that remain relevant for researchers working on efficient robot dynamics and automated system modeling.