Swathi Gurumani

Papers

Total Citations

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About

Swathi Gurumani is a researcher whose work sits at the intersection of embedded systems, real-time computing, and robotics. Her primary research focus is on leveraging embedded GPU platforms to enable intelligent, real-time control in autonomous and teleoperated systems. Her most cited work, "Real-Time System-Level Implementation of a Telepresence Robot Using an Embedded GPU Platform" (2016, 9 citations), demonstrates her ability to bridge hardware acceleration with practical robotic applications. In this paper, she developed a portable, standalone telepresence robot using an NVIDIA Jetson platform, achieving real-time attention-directed control—a significant step toward making telepresence systems more responsive and autonomous. This work highlights her contribution to system-level design, where she integrates computer vision, control algorithms, and embedded computing to solve real-world challenges. While her citation count is modest, her research is foundational in exploring how low-power, high-performance embedded GPUs can enable next-generation robotic systems. For students and researchers interested in the practical deployment of AI and real-time control on resource-constrained devices, Gurumani’s work offers a clear, applied example of how to move from theory to a working prototype.