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High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning
As sampling-based motion planners become faster, they can be re-executed more frequently by a robot during task execution to react to uncertainty in robot motion, obstacle motion, sensing noise, and uncertainty in the robot’s kinematic model. We investigate and analyze high-frequency replanning (HFR...
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| Publicat a: | IEEE Trans Robot |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4535731/ https://ncbi.nlm.nih.gov/pubmed/26279645 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TRO.2014.2380273 |
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