Learning compositional models of robot skills for task and motion planning

Learning compositional models of robot skills for task and motion planning

<jats:p> The objective of this work is to augment the basic abilities of a robot by learning to use sensorimotor primitives to solve complex long-horizon manipulation problems. This requires flexible generative planning that can combine primitive abilities in novel combinations and, thus, gene...

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Detaylı Bibliyografya
Asıl Yazarlar: Wang, Zi, Garrett, Caelan Reed, Kaelbling, Leslie Pack, Lozano-Pérez, Tomás
Diğer Yazarlar: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: SAGE Publications 2022
Online Erişim:https://hdl.handle.net/1721.1/143744

Internet

https://hdl.handle.net/1721.1/143744

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