A weakness in robot object memory: mistaking a chimney for a squirrel A robot mistakes a chimney for a squirrel and records that wrong information on its map.
MIT's announcement uses this kind of example to explain the problem with robots' object memory.
It represents the share of objects initially judged uncertain whose uncertainty score fell below a set threshold after additional processing.
DAM-3B was used to generate object descriptions, and GPT-5-mini was used for merging descriptions and question answering.
Questions also remain about how well the uncertainty score reflects actual recognition accuracy, that is, about confidence calibration.