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Autonomous Systems IRT

Autonomous systems interact with human partners for extended periods of time, sometimes at remote distances and promise improved safety, reliability, efficiency, adaptability, resiliency, usability, affordability, and previously unattainable capabilities. Networked cyber-physical systems pervade modern society—from smart vehicles to medical robots, from automated infrastructure to teams of robotic explorers, from mobile devices to connected communities. The Autonomous Systems Interdisciplinary Research Theme (ASIRT) investigates how smart, safe, and secure autonomy can expand and exploit the full capabilities of these networked systems. This theme convenes faculty from across the College of Engineering and Applied Science at the Â鶹ӰԺ with expertise in robotics, cyber-security, verification and validation, control theory, artificial intelligence, unmanned systems, machine learning, formal methods, and human-robot interaction.

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To realize the promise of autonomous systems, the Autonomous Systems Interdisciplinary Research Theme is focused on the ability to certify their performance, showing that they are smart enough to perform across a wide range of conditions; they are safe in the face of unexpected inputs; and that they are secure in the face of adversarial and malicious interactions.