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ASUMOT achieves robust UAV tracking by leveraging motion consistency, reducing identity confusion in fragmented event data.
Human-in-the-loop chunk-wise residual adaptation closes the reality gap for dexterous robot manipulation, boosting success rates by up to 43% compared to offline imitation learning.
