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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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| Publicado no: | IEEE Trans Robot |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | 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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