Nicholas Rober

Aerospace Testing (United States), American Institute of Aeronautics and Astronautics

Papers

Total Citations

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About

Nicholas Rober is a researcher advancing the safety and autonomy of cyber-physical systems, with a core focus on neural feedback loops and marine robotics. His work addresses the critical challenge of certifying the behavior of neural networks (NNs) in safety-critical applications. In his highly cited 2022 paper, "Backward Reachability Analysis for Neural Feedback Loops," Rober introduced a novel backward reachability approach for the safety verification of closed-loop systems with NN control—a foundational contribution that has garnered 11 citations for enabling rigorous guarantees in complex, learning-enabled systems. Building on this, his 2025 work, "Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis," tackles the real-world problem of maintaining precise control and safety for uncrewed surface vehicles (USVs) navigating narrow waterways under unpredictable disturbances. By integrating adaptive control with reachability analysis, Rober provides a framework to account for environmental uncertainties, ensuring robust performance. His research bridges theoretical verification with practical autonomy, making him a rising voice in safe AI and robotics.