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Learning Feasibility for Task and Motion Planning in Tabletop Environments

Task and motion planning (TMP) combines discrete search and continuous motion planning. Earlier work has shown that to efficiently find a task-motion plan, the discrete search can leverage information about the continuous geometry. However, incorporating continuous elements into discrete planners pr...

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Podrobná bibliografie
Vydáno v:IEEE Robot Autom Lett
Hlavní autoři: Wells, Andrew M., Dantam, Neil T., Shrivastava, Anshumali, Kavraki, Lydia E.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6491048/
https://ncbi.nlm.nih.gov/pubmed/31058229
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/LRA.2019.2894861
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