Srividya Khatravath

Papers

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About

Dr. Srividya Khatravath is a leading researcher at the intersection of advanced robotics and computer vision, with a primary focus on transforming retail operations through intelligent automation. Her most-cited work, "Combination of Advanced Robotics and Computer Vision for Shelf Analytics in a Retail Store" (2017, 9 citations), addresses the critical challenge of inventory management in large-scale retail environments. In this seminal paper, Dr. Khatravath pioneered a novel framework that integrates robotic platforms with sophisticated computer vision algorithms to autonomously monitor and analyze shelf stock levels, enabling real-time detection of out-of-stock items and product misplacements. Her contributions have significantly advanced the field of retail analytics by providing a scalable, automated solution that reduces manual labor and improves inventory accuracy. Beyond this flagship study, her research continues to explore the synergy between perception systems and autonomous navigation, aiming to create more efficient and responsive retail ecosystems. Dr. Khatravath’s work is widely recognized for its practical impact, bridging the gap between academic innovation and real-world commercial applications, and she remains a key figure in shaping the future of smart retail technology.