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Earth-bound tactile models fail dramatically in space, but a compact optical-flow representation trained across gravity domains achieves near-perfect rotation classification.
Space robots can now adapt to hardware failures in real-time without needing reward signals, revolutionizing their operational resilience in extreme environments.
