N. Srivani

Papers

Total Citations

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About

N. Srivani is a researcher whose work centers on advancing autonomous systems through machine learning, with a particular focus on robot localization and position estimation. Her most-cited paper, "Position Estimation for Mobile Robots Using Machine Learning" (2025, 1 citation), tackles the fundamental challenge of enabling robots to accurately determine their location within an environment—a critical capability for reliable navigation and task execution. In this work, Srivani compares the performance of advanced machine learning techniques, specifically Gradient Boosting and K-Nearest Neighbors, for position estimation, offering insights into how these algorithms can improve the precision and robustness of autonomous systems. While her citation count is still growing, this early work signals a promising trajectory in the intersection of robotics and artificial intelligence. Srivani’s contributions are particularly relevant for students and researchers exploring practical applications of ML in real-world robotic systems, where accurate localization remains a persistent hurdle. Her research underscores the potential of data-driven approaches to solve complex engineering problems, making her a rising voice in the field of autonomous navigation.