The latest advances in artificial intelligence and computing are enabling systems in our built environment to become progressively more autonomous. Realizing full autonomy entails perception, cognition and action. Perception is often realized with smart sensing technologies, cognition is achieved with reliable and practical models informed by data, and action is obtained with safe and intelligent controls. The ME faculty in the Intelligent and Autonomous Systems group are working on the cutting-edge problems in perception, cognition and action, including multi-physics dynamic modeling, self-sensing, robust and fault-tolerant control design, data-driven diagnostics/prognostics, intelligent materials and structures, system optimization, data-enabled control and safety assurance. Application areas include robotics assisted monitoring and inspection, electrical vehicles, personalized medicine, flight robotics, with broad impact in energy, aerospace, health care, and transportation.
