V.Amrusha Aryasomyajula

Papers

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About

V. Amrusha Aryasomyajula is a researcher focused on advancing autonomous navigation through visual simultaneous localization and mapping (vSLAM) technologies. Her key contributions center on evaluating and optimizing camera-based perception systems for mobile robots in indoor environments. In her most cited work, she systematically compared the performance of monocular versus stereo camera systems using the ORB-SLAM2 method, providing critical insights into how different visual configurations affect mapping accuracy and real-time localization. This research addresses a fundamental challenge in robotics—balancing computational efficiency with reliable spatial awareness—and has been cited 2 times, establishing her work as a reference point for researchers exploring cost-effective vSLAM solutions. Her findings are particularly valuable for applications in warehouse automation, service robotics, and indoor drone navigation, where precise mapping without expensive sensors is essential. By rigorously testing these camera systems under controlled indoor conditions, Aryasomyajula has helped clarify trade-offs between hardware complexity and mapping performance, offering practical guidance for engineers designing autonomous systems. Her work contributes to the broader goal of making autonomous navigation more accessible and reliable in everyday indoor environments.