Sampling-based methods for factored task and motion planning

This paper presents a general-purpose formulation of a large class of discrete-time planning problems, with hybrid state and control-spaces, as factored transition systems. Factoring allows state transitions to be described as the intersection of several constraints each affecting a subset of the st...

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Bibliographic Details
Main Authors: Garrett, Caelan Reed (Author), Lozano-Pérez, Tomás (Author), Kaelbling, Leslie P (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: SAGE Publications, 2020-04-06T14:34:53Z.
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