Sujay Narayana

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About

Sujay Narayana is a robotics researcher whose work bridges artificial intelligence and swarm robotics, with a focus on audio-based interaction. His key research areas include multi-robot systems, sensor fusion, and deep learning for robotic perception. Narayana’s major contribution is the development of Chirpy, a novel hardware module that enables swarm robots to simultaneously localize and communicate using audio signals. Central to this innovation is AudioLocNet, a deep learning network that allows robots to perform accurate localization even in non-line-of-sight environments—a notoriously difficult challenge for traditional sensors. This work, published in 2023 and already garnering 5 citations, represents a significant step toward more robust and autonomous swarm coordination. By replacing expensive or bulky sensors with a lightweight, AI-driven audio solution, Narayana’s research has the potential to make swarm robotics more accessible and resilient in real-world applications like search-and-rescue or environmental monitoring. His achievements demonstrate a creative integration of deep learning with low-cost hardware, offering a compelling path forward for distributed robotic systems.