Medha Sreenivasan

Papers

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About

Medha Sreenivasan is a rising researcher in the field of autonomous robotics and machine learning, with a focused interest in solving the fundamental challenge of robot localization. Her work addresses the critical need for accurate position estimation, which is essential for enabling robots to navigate and execute tasks reliably within their environments. In her most cited paper, "Position Estimation for Mobile Robots Using Machine Learning" (2025), Sreenivasan conducts a rigorous comparative analysis of advanced machine learning methods, specifically Gradient Boosting and K-Nearest Neighbors, for estimating a robot’s position. This contribution provides valuable insights into the relative strengths of these algorithms, offering a practical framework for improving navigation accuracy in autonomous systems. While her citation count is still growing, reflecting the early stage of her career, her research directly tackles a core problem in robotics, demonstrating a clear and promising trajectory for impactful work in intelligent, self-navigating machines.