Sreesruthi Ramasubramanian

Papers

Total Citations

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About

Sreesruthi Ramasubramanian is a researcher specializing in robotics, artificial intelligence, and autonomous systems, with a particular focus on the practical application of intelligent technologies in emergency response scenarios. Her most influential work centers on firefighting robots, where she has made notable contributions to improving their detection capabilities, navigational efficiency, and cooperative behavior in hazardous environments. Her most cited paper, "Fire Detection using Artificial Intelligence for Fire-Fighting Robots" (2020), has garnered 40 citations and addresses a critical limitation of traditional sensor-based fire detection systems — their inability to detect fires beyond a threshold distance. By integrating artificial intelligence into firefighting robots, Ramasubramanian proposed a more robust and far-reaching detection methodology, significantly advancing the field. Building on this foundation, her 2021 publications explored path-planning algorithms and multi-robot team allocation strategies, demonstrating a progressive and systematic research trajectory aimed at maximizing the operational effectiveness of autonomous firefighting systems. With a combined citation count reflecting growing interest from the robotics and AI communities, Ramasubramanian's work is particularly relevant for researchers and engineers developing intelligent emergency response systems, offering practical frameworks that bridge the gap between theoretical AI and real-world life-saving applications.