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Intelligent control systems face fundamental challenges in operating reliably and efficiently in uncertain environments, particularly when interacting with humans. These challenges parallel those faced by biological systems, which must generate robust behavior despite noisy, delayed, and limited information. Our research centers on a question fundamental to both science and technology: How can we design intelligent control systems that provide lifelong assurance of safety, robustness, efficiency, and adaptability?
To address this question, we develop the techniques for safe, robust, and adaptive physical AI systems as well as AI agents for control research.