Navya Vepakomma

Papers

Total Citations

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About

Navya Vepakomma is a researcher at the intersection of robotics, computer vision, and retail automation. Her work focuses on developing intelligent systems that can autonomously monitor and manage physical retail environments, addressing the complex challenge of real-time shelf analytics. Her most cited paper, "Combination of Advanced Robotics and Computer Vision for Shelf Analytics in a Retail Store" (2017), with 9 citations, introduces a novel approach that integrates mobile robotics with computer vision algorithms to track Stock Keeping Units (SKUs) on retail shelves. This work tackles a critical operational pain point for large-scale retailers: maintaining accurate, real-time product availability. By enabling automated detection of out-of-stock items and shelf gaps, Vepakomma’s research lays the groundwork for more efficient inventory management, reducing manual labor and improving customer satisfaction. Her contributions are particularly notable for bridging the gap between advanced robotic perception and practical retail logistics, offering a scalable solution for the growing field of autonomous store operations. Vepakomma’s work continues to inspire further research into computer vision-driven retail automation, demonstrating how robotics can transform traditional brick-and-mortar retail into a data-rich, responsive environment.