Hrishikesh Viswanath

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About

Hrishikesh Viswanath is a robotics researcher whose work sits at the intersection of multi-agent systems, autonomous navigation, and AI-driven emergency response. His primary research focuses on decentralized coordination for heterogeneous robot teams—comprising both ground and aerial vehicles—where he has introduced novel graph neural operator-based approaches for task allocation in complex, dynamic environments. This work, published in 2024, has already garnered 8 citations for its innovative use of graph-based learning to solve the multi-robot target localization problem. Viswanath has also made significant contributions to pedestrian trajectory prediction, developing a flow-guided Markov neural operator that accounts for social norms and crowd dynamics—a critical capability for safe robot navigation in human-populated spaces. Beyond these technical advances, he has applied his expertise to life-saving technology through ARTEMIS, an AI-driven robotic triage system designed for mass casualty incidents. This system represents a meaningful step toward autonomous emergency medical response. With his most-cited papers accumulating citations rapidly, Viswanath is establishing himself as a rising figure in the robotics community, bridging the gap between theoretical learning-based methods and practical, high-impact applications.