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Mem-World's innovative memory architecture boosts robot manipulation success rates from 58% to 72% on complex tasks by effectively anchoring historical observations to dynamic scene elements.
MLLMs still struggle to reason about everyday situations when they require identifying and using visual clues, despite excelling at tasks relying on pre-existing knowledge.
