Roshan Ayyalasomayajula

University of California San Diego, University at Buffalo, State University of New York

Papers

Total Citations

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About

Roshan Ayyalasomayajula is a robotics and wireless systems researcher whose work sits at the compelling intersection of indoor localization, autonomous navigation, and WiFi-based sensing. His research focuses on developing robust Simultaneous Localization and Mapping (SLAM) algorithms that leverage WiFi signals as a practical, resource-efficient alternative or complement to traditional sensor suites in indoor environments. His most recognized contribution, "P2SLAM: Bearing Based WiFi SLAM for Indoor Robots" (2022), has accumulated 40 citations and introduced a novel bearing-based approach to WiFi SLAM, addressing longstanding challenges in indoor robot navigation where GPS is unavailable and conventional sensors fall short. Building on this foundation, his 2024 work "WAIS: Leveraging WiFi for Resource-Efficient SLAM" pushes the frontier further by tackling sensor drift in odometry-dependent systems, proposing leaner, more computationally accessible SLAM architectures. Ayyalasomayajula's contributions are particularly meaningful for the field of autonomous indoor robotics, where practical deployment constraints demand both accuracy and efficiency. His trajectory suggests a researcher steadily shaping how robots perceive and navigate complex indoor spaces using ubiquitous wireless infrastructure — a direction with broad real-world implications for warehousing, healthcare, and smart building applications.