Visual Prediction of Priors for Articulated Object Interaction

Visual Prediction of Priors for Articulated Object Interaction

Exploration in novel settings can be challenging without prior experience in similar domains. However, humans are able to build on prior experience quickly and efficiently. Children exhibit this behavior when playing with toys. For example, given a toy with a yellow and blue door, a child will explo...

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Bibliographic Details
Main Authors: Moses, Caris (Author), Noseworthy, Michael (Author), Kaelbling, Leslie P (Author), Lozano-Perez, Tomas (Author), Roy, Nicholas (Author)
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: Institute of Electrical and Electronics Engineers (IEEE), 2021-03-02T19:17:57Z.
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