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dc.contributor.authorBarry, Jennifer
dc.contributor.authorHsiao, Kaijen
dc.contributor.authorKaelbling, Leslie Pack
dc.contributor.authorLozano-Pérez, Tomás
dc.date.accessioned2021-11-05T21:00:12Z
dc.date.available2021-11-05T21:00:12Z
dc.date.issued2013
dc.identifier.issn1610-7438
dc.identifier.issn1610-742X
dc.identifier.urihttps://hdl.handle.net/1721.1/137625
dc.description.abstractWe present DARRT, a sampling-based algorithm for planning with multiple types of manipulation. Given a robot, a set of movable objects, and a set of actions for manipulating the objects, DARRT returns a sequence of manipulation actions that move the robot and objects from an initial configuration to a final configuration. The manipulation actions may be non-prehensile, meaning that the object is not rigidly attached to the robot, such as push, tilt, or pull. We describe a simple extension to the RRT algorithm to search the combined space of robot and objects and present an implementation of DARRT on the Willow Garage PR2 robot.en_US
dc.language.isoen
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1007/978-3-319-00065-7_36en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleManipulation with Multiple Action Typesen_US
dc.typeArticleen_US
dc.identifier.citationBarry, Jennifer, Hsiao, Kaijen, Kaelbling, Leslie Pack and Lozano-Pérez, Tomás. 2013. "Manipulation with Multiple Action Types."
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-04T14:10:04Z
dspace.date.submission2019-06-04T14:10:05Z
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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