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Our work centers on creating systems capable of perceiving, interpreting, and reacting to their environment. This field of study has diverse applications, including design enhancement, behavior simulation, visual monitoring systems, helper robots, self-operating machines, and next-generation production techniques.
Department faculty possess specialized knowledge in key intelligent systems domains, especially computer vision, robotics, and evolutionary computation.
Within computer vision, we explore image and video analysis, pattern recognition, identity verification, object identification and monitoring, as well as behavior interpretation.
In robotics and control systems, we study human-machine interfaces, coordinated multi-robot operations, robotic inspection technologies, and collaborative human-robot workflows.
For evolutionary computing, we examine genetic programming techniques and their uses in gaming artificial intelligence, problem-solving methods, efficiency improvements, and automated learning systems.