Sai Shankar Narasimhan

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About

Sai Shankar Narasimhan is a leading researcher at the intersection of robotics, control theory, and networked systems, with a core focus on enabling safe and reliable autonomy for compute-constrained robots. His work addresses a critical challenge: how can robots leverage powerful cloud-based deep neural networks for perception and control without compromising safety or real-time performance? Narasimhan’s major contributions include pioneering frameworks for the co-design of communication and machine inference in cloud robotics, where he develops probabilistic verification methods to guarantee safe operation even under uncertain network conditions. His highly cited 2023 paper, "Safe Networked Robotics With Probabilistic Verification," has already garnered 5 citations, establishing a foundational approach for certifying the safety of robots that offload computation to remote servers. By formally modeling the interplay between wireless communication delays and neural network inference, Narasimhan provides rigorous safety guarantees that were previously absent in cloud-robotic systems. His work is instrumental for the next generation of autonomous systems—from warehouse drones to remote surgery—that must make split-second decisions based on rich sensory data processed in the cloud.