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Achieving state-of-the-art attention prediction with 99.40% lower computational costs, GazeLNN transforms how robots perceive and navigate their environments.
A single control policy can seamlessly adapt to various multirotor configurations, achieving zero-shot transfer to real-world systems in just five minutes of training.