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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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| Publicado no: | IEEE Robot Autom Lett |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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