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dc.contributor.authorChaudhuri, Swarat
Dantam, Neil T.
Kavraki, Lydia E.
dc.date.accessioned 2017-08-02T22:03:16Z
dc.date.available 2017-08-02T22:03:16Z
dc.date.issued 2016-10-31
dc.identifier.urihttps://hdl.handle.net/1911/96418
dc.description.abstract Expanding the capabilities of robots to achieve complex objectives in new environments requires novel reasoning systems. Everyday tasks in the physical world, such as the table setting in Fig. 1, couple discrete decisions about objects and actions with geometric decisions about collision free motion. Robotics has traditionally treated these issues—task planning and motion planning—in isolation, thus missing their potential interactions. Instead, the joint approach of Task–Motion Planning (TMP) addresses this inherent coupling. Moreover, reasoning in concert about overall objectives and concrete motions enables the high-level specification of behavior, mitigating typically intensive system integration efforts required in robotics. We address the need for underlying models and principles in integrated robot manipulation with a new planning and execution framework that is adaptable to new robots, domains, and algorithms.
dc.format.extent 8 pp
dc.language.iso eng
dc.rights You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
dc.title The Task Motion Kit
dc.type Technical report
dc.date.note October 31, 2016
dc.identifier.digital TR16-02
dc.type.dcmi Text
dc.identifier.citation Chaudhuri, Swarat, Dantam, Neil T. and Kavraki, Lydia E.. "The Task Motion Kit." (2016) https://hdl.handle.net/1911/96418.


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