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Asymptotically Optimal Motion Planning for Learned Tasks Using Time-Dependent Cost Maps
In unstructured environments in people’s homes and workspaces, robots executing a task may need to avoid obstacles while satisfying task motion constraints, e.g., keeping a plate of food level to avoid spills or properly orienting a finger to push a button. We introduce a sampling-based method for c...
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| Publicado no: | IEEE Trans Autom Sci Eng |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4535732/ https://ncbi.nlm.nih.gov/pubmed/26279642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASE.2014.2342718 |
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