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Helping robots zero in on the objects that matter

ScienceDaily
Summary
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79% Informative

MIT engineers developed a new system that helps robots quickly map a scene and identify items they need to complete a given set of tasks.

The team's new approach, named Clio , enables a robot to identify the parts of a scene that matter, given the tasks at hand.

Clio is named after the Greek muse of history, for its ability to identify and remember only the elements that matter for a given task.

The team's approach combines state-of-the-art computer vision and large language models.

They also incorporate mapping tools that automatically split an image into many small segments, which can be fed into the neural network to determine if certain segments are semantically similar.

The researchers leverage an idea from classic information theory called the "information bottleneck".

VR Score

90

Informative language

96

Neutral language

56

Article tone

semi-formal

Language

English

Language complexity

55

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not offensive

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not hateful

Attention-grabbing headline

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Known propaganda techniques

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Time-value

long-living

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