One-shot visual appearance learning for mobile manipulation

One-shot visual appearance learning for mobile manipulation

We describe a vision-based algorithm that enables a robot to robustly detect specific objects in a scene following an initial segmentation hint from a human user. The novelty lies in the ability to 'reacquire' objects over extended spatial and temporal excursions within challenging environ...

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Bibliographic Details
Main Authors: Walter, Matthew R. (Contributor), Friedman, Yuli (Author), Antone, Matthew (Author), Teller, Seth (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Sage Publications, 2012-10-02T14:57:19Z.
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