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MIT researchers developed UQ-DAAAM, a system that corrects mislabeled objects in robot memory by comparing images from different angles. The method resolves ambiguities for about 92% of objects while increasing description accuracy by 5% compared to the state of the art. The study is available on the arXiv preprint server with a 2026 publication date.
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